From 7416c44a9f868c92824c6fd4f920f01a05e9d9b1 Mon Sep 17 00:00:00 2001
From: Umar Igan <38042220+UmarIgan@users.noreply.github.com>
Date: Tue, 15 Aug 2023 14:58:33 +0300
Subject: [PATCH 1/4] Create config.py
---
NewsSemanticSearch/config.py | 1 +
1 file changed, 1 insertion(+)
create mode 100644 NewsSemanticSearch/config.py
diff --git a/NewsSemanticSearch/config.py b/NewsSemanticSearch/config.py
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/NewsSemanticSearch/config.py
@@ -0,0 +1 @@
+
From c6614ee4d785b2bc7b26816a6ea875e1892a5931 Mon Sep 17 00:00:00 2001
From: Umar Igan <38042220+UmarIgan@users.noreply.github.com>
Date: Tue, 15 Aug 2023 15:01:25 +0300
Subject: [PATCH 2/4] Add files via upload
---
NewsSemanticSearch/NewsSemanticSearch.ipynb | 5422 +++++++++++++++++++
1 file changed, 5422 insertions(+)
create mode 100644 NewsSemanticSearch/NewsSemanticSearch.ipynb
diff --git a/NewsSemanticSearch/NewsSemanticSearch.ipynb b/NewsSemanticSearch/NewsSemanticSearch.ipynb
new file mode 100644
index 0000000..c66eb19
--- /dev/null
+++ b/NewsSemanticSearch/NewsSemanticSearch.ipynb
@@ -0,0 +1,5422 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": []
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "widgets": {
+ "application/vnd.jupyter.widget-state+json": {
+ "a4e6b052599848fb914714e8a26bd355": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_fd73488e1e004b12afb7a26895baa7c2",
+ "IPY_MODEL_106d9340b6b04c08aafbd63e1afc6d7a",
+ "IPY_MODEL_535c0549ef454091b3364b8562aeb67f"
+ ],
+ "layout": "IPY_MODEL_8e9d03aa48794b9e82b2ca39f7f2709b"
+ }
+ },
+ "fd73488e1e004b12afb7a26895baa7c2": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_bae67706a4da4297a9904c860a128503",
+ "placeholder": "",
+ "style": "IPY_MODEL_b3bb63f968aa492a9692e3e65737bb0f",
+ "value": "Downloading (…)98800/.gitattributes: 100%"
+ }
+ },
+ "106d9340b6b04c08aafbd63e1afc6d7a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_71935f59aa8042a08ee50d749364d95c",
+ "max": 1229,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_6373e66f55734c1180d9ef43f6432017",
+ "value": 1229
+ }
+ },
+ "535c0549ef454091b3364b8562aeb67f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_adf77d4a3079475493e3989a7c2e9507",
+ "placeholder": "",
+ "style": "IPY_MODEL_c4ae4ddbb6af42a0bbfe965f26f73a92",
+ "value": " 1.23k/1.23k [00:00<00:00, 34.9kB/s]"
+ }
+ },
+ "8e9d03aa48794b9e82b2ca39f7f2709b": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "bae67706a4da4297a9904c860a128503": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "b3bb63f968aa492a9692e3e65737bb0f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "71935f59aa8042a08ee50d749364d95c": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "6373e66f55734c1180d9ef43f6432017": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "adf77d4a3079475493e3989a7c2e9507": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "c4ae4ddbb6af42a0bbfe965f26f73a92": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "e69ec5362e1047479e42889a3a81e8e5": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_eb604aa568b140dab6ac59041e8ddb6b",
+ "IPY_MODEL_8fc44714b12b4436a9967205792ed370",
+ "IPY_MODEL_2257d00a43d1498797b1f588efa729cf"
+ ],
+ "layout": "IPY_MODEL_cfd7a90309c74756899ad3adea126d90"
+ }
+ },
+ "eb604aa568b140dab6ac59041e8ddb6b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_cacb78d6aabf451288652d3d8cec3333",
+ "placeholder": "",
+ "style": "IPY_MODEL_f5684f0ddca8446db70c5598904f5f46",
+ "value": "Downloading (…)_Pooling/config.json: 100%"
+ }
+ },
+ "8fc44714b12b4436a9967205792ed370": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_5b1550c4d6014a18810817c28d80ddcb",
+ "max": 190,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_ad9ee76e588a4f348a96a3e03c558b81",
+ "value": 190
+ }
+ },
+ "2257d00a43d1498797b1f588efa729cf": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_d67094f7989c45e9b771824df4a21733",
+ "placeholder": "",
+ "style": "IPY_MODEL_22290d6389ae4fb7a88bb38abad8ff36",
+ "value": " 190/190 [00:00<00:00, 11.8kB/s]"
+ }
+ },
+ "cfd7a90309c74756899ad3adea126d90": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "cacb78d6aabf451288652d3d8cec3333": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "f5684f0ddca8446db70c5598904f5f46": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "5b1550c4d6014a18810817c28d80ddcb": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "ad9ee76e588a4f348a96a3e03c558b81": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "d67094f7989c45e9b771824df4a21733": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "22290d6389ae4fb7a88bb38abad8ff36": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "c05a8a3d705c4a62a5b8b3f078b9667c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_c1bb2625fa0247ed884077379074fab8",
+ "IPY_MODEL_2a3f63923b8e4abeb9169f4200bcf49e",
+ "IPY_MODEL_82eed1919c16433885bdbbd8e0ad8e17"
+ ],
+ "layout": "IPY_MODEL_bd4235c328b24352b700ee72dd9af021"
+ }
+ },
+ "c1bb2625fa0247ed884077379074fab8": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_84df39c5c53c45c2add4d635a7d0d4ab",
+ "placeholder": "",
+ "style": "IPY_MODEL_22fd47a9daf44a24b1ad43f8db0da91b",
+ "value": "Downloading (…)c24f398800/README.md: 100%"
+ }
+ },
+ "2a3f63923b8e4abeb9169f4200bcf49e": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_2e633be2eac84537873e504da330a5f1",
+ "max": 5889,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_52c638abd8854587a2415cab86001e2c",
+ "value": 5889
+ }
+ },
+ "82eed1919c16433885bdbbd8e0ad8e17": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_83ee6210b512450ca0aabe12f18ed6c5",
+ "placeholder": "",
+ "style": "IPY_MODEL_724fa60d871b4d69bc538af97e082611",
+ "value": " 5.89k/5.89k [00:00<00:00, 365kB/s]"
+ }
+ },
+ "bd4235c328b24352b700ee72dd9af021": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "84df39c5c53c45c2add4d635a7d0d4ab": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "22fd47a9daf44a24b1ad43f8db0da91b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "2e633be2eac84537873e504da330a5f1": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "52c638abd8854587a2415cab86001e2c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "83ee6210b512450ca0aabe12f18ed6c5": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "724fa60d871b4d69bc538af97e082611": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "2b5bef6a189e4943893a3d9f514f6321": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_79ffeb6f9f0d43508ac588fc3b2f9cd4",
+ "IPY_MODEL_9cebd8e425f64cd4a0810036b8094dfe",
+ "IPY_MODEL_7b670d80da99480bbcb08b7a1f3bf251"
+ ],
+ "layout": "IPY_MODEL_a8502e47b58b4d2390d47a50d4a86060"
+ }
+ },
+ "79ffeb6f9f0d43508ac588fc3b2f9cd4": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_0cb27ff1e5494786b8e1cdb02f0218ab",
+ "placeholder": "",
+ "style": "IPY_MODEL_7858b91f82e04a3a9bd8a88103b7ae9f",
+ "value": "Downloading (…)4f398800/config.json: 100%"
+ }
+ },
+ "9cebd8e425f64cd4a0810036b8094dfe": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_dbbdfa3163734d3c930a824907cc7328",
+ "max": 693,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_3aa7a00577b94f66ba5e648082322e95",
+ "value": 693
+ }
+ },
+ "7b670d80da99480bbcb08b7a1f3bf251": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_7214192b26c4423fb32ab2105b587a11",
+ "placeholder": "",
+ "style": "IPY_MODEL_359c37072572464aac7b86977d491465",
+ "value": " 693/693 [00:00<00:00, 31.6kB/s]"
+ }
+ },
+ "a8502e47b58b4d2390d47a50d4a86060": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "0cb27ff1e5494786b8e1cdb02f0218ab": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "7858b91f82e04a3a9bd8a88103b7ae9f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "dbbdfa3163734d3c930a824907cc7328": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "3aa7a00577b94f66ba5e648082322e95": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "7214192b26c4423fb32ab2105b587a11": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "359c37072572464aac7b86977d491465": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "65f618baca564a9dadb75f9f6167c597": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_7c5f6a9b874e45d585203ef3bab469be",
+ "IPY_MODEL_5907f03cc9b8461ba99615e1dfbece4c",
+ "IPY_MODEL_a0ca5f1a66bf4fc99228fb555d30e46a"
+ ],
+ "layout": "IPY_MODEL_045678ad904d4555b9f3fce7933400a9"
+ }
+ },
+ "7c5f6a9b874e45d585203ef3bab469be": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_0ae84c87a84843329b2797f907f9395d",
+ "placeholder": "",
+ "style": "IPY_MODEL_8af3ba459d86492bb371703e60a70503",
+ "value": "Downloading (…)ce_transformers.json: 100%"
+ }
+ },
+ "5907f03cc9b8461ba99615e1dfbece4c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_20b2da86e8ef45e2afcbe4eee2369345",
+ "max": 123,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_606ecd5ef6b7476497ef5cd6764989b1",
+ "value": 123
+ }
+ },
+ "a0ca5f1a66bf4fc99228fb555d30e46a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_5c73fd431c974ad19edd89360fdaefa4",
+ "placeholder": "",
+ "style": "IPY_MODEL_afcc3b00c6a44c53b945a5035ba9031b",
+ "value": " 123/123 [00:00<00:00, 1.47kB/s]"
+ }
+ },
+ "045678ad904d4555b9f3fce7933400a9": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "0ae84c87a84843329b2797f907f9395d": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "8af3ba459d86492bb371703e60a70503": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "20b2da86e8ef45e2afcbe4eee2369345": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "606ecd5ef6b7476497ef5cd6764989b1": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "5c73fd431c974ad19edd89360fdaefa4": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "afcc3b00c6a44c53b945a5035ba9031b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "7f675ddc06384028acfbf09bc9cd2008": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_bee6f50932534280af3fcb59325c91e8",
+ "IPY_MODEL_c728ac0a67bb4dc0bba561395cf25f08",
+ "IPY_MODEL_f31cb001e59c436e9d05d790250203de"
+ ],
+ "layout": "IPY_MODEL_bff87ca70ed447bcab75a6a694b548ab"
+ }
+ },
+ "bee6f50932534280af3fcb59325c91e8": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_e0c477e4411d4a07b6138d2ef6d73c54",
+ "placeholder": "",
+ "style": "IPY_MODEL_4c7e1c5434e049098be44a4d29eaafce",
+ "value": "Downloading pytorch_model.bin: 100%"
+ }
+ },
+ "c728ac0a67bb4dc0bba561395cf25f08": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_adde04640a9f4397b334f5b3e53f0d1c",
+ "max": 442547953,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_07bf23d475a443268496e7a39405f59c",
+ "value": 442547953
+ }
+ },
+ "f31cb001e59c436e9d05d790250203de": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_fe09ab20c1e74592bcf7a32bd4e18841",
+ "placeholder": "",
+ "style": "IPY_MODEL_6e55a88b8b82412fb9c049eaade06b5e",
+ "value": " 443M/443M [00:20<00:00, 22.7MB/s]"
+ }
+ },
+ "bff87ca70ed447bcab75a6a694b548ab": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "e0c477e4411d4a07b6138d2ef6d73c54": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "4c7e1c5434e049098be44a4d29eaafce": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "adde04640a9f4397b334f5b3e53f0d1c": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "07bf23d475a443268496e7a39405f59c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "fe09ab20c1e74592bcf7a32bd4e18841": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "6e55a88b8b82412fb9c049eaade06b5e": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "c60c234fc01f4429bedac3a5600fa229": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_a3959187f5b142ffbb89dd5ebb8bb45f",
+ "IPY_MODEL_20ab58195b9f4d549bdbdc8d50c1ebe9",
+ "IPY_MODEL_c36585247d0447e0895eb263b4078764"
+ ],
+ "layout": "IPY_MODEL_708108a0bef348eabc267559ce5c3fb2"
+ }
+ },
+ "a3959187f5b142ffbb89dd5ebb8bb45f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_af841358cc5f412fadad4d7c96ac5ab8",
+ "placeholder": "",
+ "style": "IPY_MODEL_18af4fab960c4f48b9f1b7dfc237d3c7",
+ "value": "Downloading (…)nce_bert_config.json: 100%"
+ }
+ },
+ "20ab58195b9f4d549bdbdc8d50c1ebe9": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_bd75b4ce288b43c088af0fcd2b8e665f",
+ "max": 52,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_bab78d83152c4f8289f6b4e404e19286",
+ "value": 52
+ }
+ },
+ "c36585247d0447e0895eb263b4078764": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_9056fb5b65f1457881a6c21c01e02d81",
+ "placeholder": "",
+ "style": "IPY_MODEL_9fbc34472adf446abb28b609655be00c",
+ "value": " 52.0/52.0 [00:00<00:00, 515B/s]"
+ }
+ },
+ "708108a0bef348eabc267559ce5c3fb2": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "af841358cc5f412fadad4d7c96ac5ab8": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "18af4fab960c4f48b9f1b7dfc237d3c7": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "bd75b4ce288b43c088af0fcd2b8e665f": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "bab78d83152c4f8289f6b4e404e19286": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "9056fb5b65f1457881a6c21c01e02d81": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "9fbc34472adf446abb28b609655be00c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "80c801c1d8ba4dfeb021608880a8acf2": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_747447ad073d4abb94a8f53d3894d2ea",
+ "IPY_MODEL_2ba727e92e9f4bbdbe94524e6c8fae3a",
+ "IPY_MODEL_7e849e943cff46f48837bdf55449ad14"
+ ],
+ "layout": "IPY_MODEL_d79b1d1602d643d4a8277606682c2723"
+ }
+ },
+ "747447ad073d4abb94a8f53d3894d2ea": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_676839dd09b047829f641f8d71a156aa",
+ "placeholder": "",
+ "style": "IPY_MODEL_f372a4ee45c54e29bfe37a904062ac3f",
+ "value": "Downloading (…)cial_tokens_map.json: 100%"
+ }
+ },
+ "2ba727e92e9f4bbdbe94524e6c8fae3a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_76b839768f704482907290d2d58fb27c",
+ "max": 112,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_cf4ec4796dc84a599a061c8f83cc61bc",
+ "value": 112
+ }
+ },
+ "7e849e943cff46f48837bdf55449ad14": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_756e2563b91246e2a52ec85e5bef68ff",
+ "placeholder": "",
+ "style": "IPY_MODEL_ff9368d3eaf342eaaa6da71c87575aed",
+ "value": " 112/112 [00:00<00:00, 1.49kB/s]"
+ }
+ },
+ "d79b1d1602d643d4a8277606682c2723": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "676839dd09b047829f641f8d71a156aa": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "f372a4ee45c54e29bfe37a904062ac3f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "76b839768f704482907290d2d58fb27c": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "cf4ec4796dc84a599a061c8f83cc61bc": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "756e2563b91246e2a52ec85e5bef68ff": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "ff9368d3eaf342eaaa6da71c87575aed": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "6ae7c278517344eebed4cad6b295c6e6": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_d4ef25951e984b68a0d91ddb6ee0650f",
+ "IPY_MODEL_f4c3ee8c832941e786a118cf840bea50",
+ "IPY_MODEL_bd25ce003554446599d04de7a67323b2"
+ ],
+ "layout": "IPY_MODEL_b9437ff508b24db7a4c510b01bf21aa6"
+ }
+ },
+ "d4ef25951e984b68a0d91ddb6ee0650f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_4d60f87ecc8b40ed97666eb9f4a36118",
+ "placeholder": "",
+ "style": "IPY_MODEL_7b85f1f910e946b3bd4251d856a85d7a",
+ "value": "Downloading (…)98800/tokenizer.json: 100%"
+ }
+ },
+ "f4c3ee8c832941e786a118cf840bea50": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_928840970e044668a02251efcad5003d",
+ "max": 497553,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_40df72327abe45d8b52603e8664dd765",
+ "value": 497553
+ }
+ },
+ "bd25ce003554446599d04de7a67323b2": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_c5aede7d520142cab595538d5236dfbe",
+ "placeholder": "",
+ "style": "IPY_MODEL_058da44225fe4003b693bdbdaa84ccb7",
+ "value": " 498k/498k [00:00<00:00, 953kB/s]"
+ }
+ },
+ "b9437ff508b24db7a4c510b01bf21aa6": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "4d60f87ecc8b40ed97666eb9f4a36118": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "7b85f1f910e946b3bd4251d856a85d7a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "928840970e044668a02251efcad5003d": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "40df72327abe45d8b52603e8664dd765": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "c5aede7d520142cab595538d5236dfbe": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "058da44225fe4003b693bdbdaa84ccb7": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "2d723a2a5a164c55b0b11f12ab301cf7": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_4e070547a96e414a8d5173ebe615e24c",
+ "IPY_MODEL_77d0da2f7f58421d909876edc880ed51",
+ "IPY_MODEL_01e57b9d3f654280b11236712860699e"
+ ],
+ "layout": "IPY_MODEL_93826f1d53f340be8c72f438285094f9"
+ }
+ },
+ "4e070547a96e414a8d5173ebe615e24c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_5a85750debe04721938ec5e15d8c4454",
+ "placeholder": "",
+ "style": "IPY_MODEL_4e4784071442409b889cc2fda7e3d1f9",
+ "value": "Downloading (…)okenizer_config.json: 100%"
+ }
+ },
+ "77d0da2f7f58421d909876edc880ed51": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_1e8551def872464994c1fccbfb402d29",
+ "max": 431,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_8c89348d8f434d61ac5659013af9ab19",
+ "value": 431
+ }
+ },
+ "01e57b9d3f654280b11236712860699e": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_e925c82b532148cba20a61ade1ba8ccc",
+ "placeholder": "",
+ "style": "IPY_MODEL_0945541f632f4632abc68ffb40cf4df5",
+ "value": " 431/431 [00:00<00:00, 7.57kB/s]"
+ }
+ },
+ "93826f1d53f340be8c72f438285094f9": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "5a85750debe04721938ec5e15d8c4454": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "4e4784071442409b889cc2fda7e3d1f9": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "1e8551def872464994c1fccbfb402d29": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "8c89348d8f434d61ac5659013af9ab19": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "e925c82b532148cba20a61ade1ba8ccc": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "0945541f632f4632abc68ffb40cf4df5": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "832e925102c248859778ffe1abe85917": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_0b83293be07d4970a6f8bd49eaba0029",
+ "IPY_MODEL_577690f03967485da1804dfaa0bc33cb",
+ "IPY_MODEL_a3dd8ce855094a3a961f78ae0eeb6af8"
+ ],
+ "layout": "IPY_MODEL_37256efc6a8d411eae29cca3a6aae006"
+ }
+ },
+ "0b83293be07d4970a6f8bd49eaba0029": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_a134f01d39d344b59220eea5ad3be257",
+ "placeholder": "",
+ "style": "IPY_MODEL_04f7ee0b947b471a9b07102ae35628f9",
+ "value": "Downloading (…)c24f398800/vocab.txt: 100%"
+ }
+ },
+ "577690f03967485da1804dfaa0bc33cb": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_dd61c3622714432fae53a5184089d509",
+ "max": 251003,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_080bd41104c44d19bff80af14ad839dc",
+ "value": 251003
+ }
+ },
+ "a3dd8ce855094a3a961f78ae0eeb6af8": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_3ba70252e4004702a7b0fb82c156eb9d",
+ "placeholder": "",
+ "style": "IPY_MODEL_2c166b15635d4c3ba714f21b738f1635",
+ "value": " 251k/251k [00:00<00:00, 5.07MB/s]"
+ }
+ },
+ "37256efc6a8d411eae29cca3a6aae006": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "a134f01d39d344b59220eea5ad3be257": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "04f7ee0b947b471a9b07102ae35628f9": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "dd61c3622714432fae53a5184089d509": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "080bd41104c44d19bff80af14ad839dc": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "3ba70252e4004702a7b0fb82c156eb9d": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "2c166b15635d4c3ba714f21b738f1635": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "446af08dafd64736ad906e389dbe9a2b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_a86bfe16d4f9458984ab79088bf2da9a",
+ "IPY_MODEL_83393f28b9f94447b5bfc4c6aaa11f69",
+ "IPY_MODEL_68ff61905de54aeca7b832c96d82e991"
+ ],
+ "layout": "IPY_MODEL_f16a6a00d734482faedc66be5b3e1631"
+ }
+ },
+ "a86bfe16d4f9458984ab79088bf2da9a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_afe6e0ed8be741e4a9c3d04ae5d4ae99",
+ "placeholder": "",
+ "style": "IPY_MODEL_18b2453be43c467cacee271037d4d26a",
+ "value": "Downloading (…)f398800/modules.json: 100%"
+ }
+ },
+ "83393f28b9f94447b5bfc4c6aaa11f69": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_d46d6dfa9cb647d19f2fa0e00d22bb3b",
+ "max": 229,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_e1416c3ce1f8433ebdf46b452f586449",
+ "value": 229
+ }
+ },
+ "68ff61905de54aeca7b832c96d82e991": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_971dc007c2ed4388a82680c675ea8991",
+ "placeholder": "",
+ "style": "IPY_MODEL_51ac58815366477398f45dfdd8d314cf",
+ "value": " 229/229 [00:00<00:00, 3.89kB/s]"
+ }
+ },
+ "f16a6a00d734482faedc66be5b3e1631": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "afe6e0ed8be741e4a9c3d04ae5d4ae99": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "18b2453be43c467cacee271037d4d26a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "d46d6dfa9cb647d19f2fa0e00d22bb3b": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "e1416c3ce1f8433ebdf46b452f586449": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "971dc007c2ed4388a82680c675ea8991": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "51ac58815366477398f45dfdd8d314cf": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ }
+ }
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install qdrant-client transformers\n",
+ "!pip install sentence_transformers\n",
+ "! pip install kaggle\n",
+ "! mkdir ~/.kaggle\n",
+ "! cp kaggle.json ~/.kaggle/\n",
+ "! chmod 600 ~/.kaggle/kaggle.json"
+ ],
+ "metadata": {
+ "id": "A9UGusuv2GqY",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "d32fb84e-c3ef-4bcf-8ec7-1a55ce585180"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting qdrant-client\n",
+ " Downloading qdrant_client-1.4.0-py3-none-any.whl (132 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.5/132.5 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting transformers\n",
+ " Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.4/7.4 MB\u001b[0m \u001b[31m63.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: grpcio>=1.41.0 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (1.56.2)\n",
+ "Collecting grpcio-tools>=1.41.0 (from qdrant-client)\n",
+ " Downloading grpcio_tools-1.57.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.6/2.6 MB\u001b[0m \u001b[31m69.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting httpx[http2]>=0.14.0 (from qdrant-client)\n",
+ " Downloading httpx-0.24.1-py3-none-any.whl (75 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.4/75.4 kB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: numpy>=1.21 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (1.23.5)\n",
+ "Collecting portalocker<3.0.0,>=2.7.0 (from qdrant-client)\n",
+ " Downloading portalocker-2.7.0-py2.py3-none-any.whl (15 kB)\n",
+ "Requirement already satisfied: pydantic>=1.10.8 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (2.1.1)\n",
+ "Collecting urllib3<2.0.0,>=1.26.14 (from qdrant-client)\n",
+ " Downloading urllib3-1.26.16-py2.py3-none-any.whl (143 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.1/143.1 kB\u001b[0m \u001b[31m13.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
+ "Collecting huggingface-hub<1.0,>=0.14.1 (from transformers)\n",
+ " Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m18.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
+ "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
+ " Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m68.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
+ " Downloading safetensors-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m47.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.0)\n",
+ "Collecting protobuf<5.0dev,>=4.21.6 (from grpcio-tools>=1.41.0->qdrant-client)\n",
+ " Downloading protobuf-4.24.0-cp37-abi3-manylinux2014_x86_64.whl (311 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m311.6/311.6 kB\u001b[0m \u001b[31m24.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting grpcio>=1.41.0 (from qdrant-client)\n",
+ " Downloading grpcio-1.57.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.3/5.3 MB\u001b[0m \u001b[31m40.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from grpcio-tools>=1.41.0->qdrant-client) (67.7.2)\n",
+ "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (2023.7.22)\n",
+ "Collecting httpcore<0.18.0,>=0.15.0 (from httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading httpcore-0.17.3-py3-none-any.whl (74 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m74.5/74.5 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (3.4)\n",
+ "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (1.3.0)\n",
+ "Collecting h2<5,>=3 (from httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading h2-4.1.0-py3-none-any.whl (57 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.5/57.5 kB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
+ "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic>=1.10.8->qdrant-client) (0.5.0)\n",
+ "Requirement already satisfied: pydantic-core==2.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic>=1.10.8->qdrant-client) (2.4.0)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.2.0)\n",
+ "Collecting hyperframe<7,>=6.0 (from h2<5,>=3->httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading hyperframe-6.0.1-py3-none-any.whl (12 kB)\n",
+ "Collecting hpack<5,>=4.0 (from h2<5,>=3->httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading hpack-4.0.0-py3-none-any.whl (32 kB)\n",
+ "Collecting h11<0.15,>=0.13 (from httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client) (3.7.1)\n",
+ "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client) (1.1.2)\n",
+ "Installing collected packages: tokenizers, safetensors, urllib3, protobuf, portalocker, hyperframe, hpack, h11, grpcio, httpcore, h2, grpcio-tools, huggingface-hub, httpx, transformers, qdrant-client\n",
+ " Attempting uninstall: urllib3\n",
+ " Found existing installation: urllib3 2.0.4\n",
+ " Uninstalling urllib3-2.0.4:\n",
+ " Successfully uninstalled urllib3-2.0.4\n",
+ " Attempting uninstall: protobuf\n",
+ " Found existing installation: protobuf 3.20.3\n",
+ " Uninstalling protobuf-3.20.3:\n",
+ " Successfully uninstalled protobuf-3.20.3\n",
+ " Attempting uninstall: grpcio\n",
+ " Found existing installation: grpcio 1.56.2\n",
+ " Uninstalling grpcio-1.56.2:\n",
+ " Successfully uninstalled grpcio-1.56.2\n",
+ "Successfully installed grpcio-1.57.0 grpcio-tools-1.57.0 h11-0.14.0 h2-4.1.0 hpack-4.0.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 hyperframe-6.0.1 portalocker-2.7.0 protobuf-4.24.0 qdrant-client-1.4.0 safetensors-0.3.2 tokenizers-0.13.3 transformers-4.31.0 urllib3-1.26.16\n",
+ "Collecting sentence_transformers\n",
+ " Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 kB\u001b[0m \u001b[31m1.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: transformers<5.0.0,>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.31.0)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.66.0)\n",
+ "Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (2.0.1+cu118)\n",
+ "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.15.2+cu118)\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.23.5)\n",
+ "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.2.2)\n",
+ "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.10.1)\n",
+ "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (3.8.1)\n",
+ "Collecting sentencepiece (from sentence_transformers)\n",
+ " Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m24.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: huggingface-hub>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.16.4)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (3.12.2)\n",
+ "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2023.6.0)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2.31.0)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (6.0.1)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (4.7.1)\n",
+ "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (23.1)\n",
+ "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (1.12)\n",
+ "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1)\n",
+ "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1.2)\n",
+ "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (2.0.0)\n",
+ "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (3.27.1)\n",
+ "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (16.0.6)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (2023.6.3)\n",
+ "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.13.3)\n",
+ "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.3.2)\n",
+ "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (8.1.6)\n",
+ "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (1.3.2)\n",
+ "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->sentence_transformers) (3.2.0)\n",
+ "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision->sentence_transformers) (9.4.0)\n",
+ "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.6.0->sentence_transformers) (2.1.3)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.2.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.4)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (1.26.16)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2023.7.22)\n",
+ "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->sentence_transformers) (1.3.0)\n",
+ "Building wheels for collected packages: sentence_transformers\n",
+ " Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for sentence_transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125924 sha256=21a9d79c7680c3e7cc03f90c1067ea1f15eb12c53d2a259e96ff438c0f25a767\n",
+ " Stored in directory: /root/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f\n",
+ "Successfully built sentence_transformers\n",
+ "Installing collected packages: sentencepiece, sentence_transformers\n",
+ "Successfully installed sentence_transformers-2.2.2 sentencepiece-0.1.99\n",
+ "Requirement already satisfied: kaggle in /usr/local/lib/python3.10/dist-packages (1.5.16)\n",
+ "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.10/dist-packages (from kaggle) (1.16.0)\n",
+ "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from kaggle) (2023.7.22)\n",
+ "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.8.2)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.31.0)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from kaggle) (4.66.0)\n",
+ "Requirement already satisfied: python-slugify in /usr/local/lib/python3.10/dist-packages (from kaggle) (8.0.1)\n",
+ "Requirement already satisfied: urllib3 in /usr/local/lib/python3.10/dist-packages (from kaggle) (1.26.16)\n",
+ "Requirement already satisfied: bleach in /usr/local/lib/python3.10/dist-packages (from kaggle) (6.0.0)\n",
+ "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from bleach->kaggle) (0.5.1)\n",
+ "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.10/dist-packages (from python-slugify->kaggle) (1.3)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.2.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.4)\n",
+ "cp: cannot stat 'kaggle.json': No such file or directory\n",
+ "chmod: cannot access '/root/.kaggle/kaggle.json': No such file or directory\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Lets first get the data from kaggle\n",
+ "- Our data is a news data with thier class\n",
+ "- But our case will be using it for similarity search"
+ ],
+ "metadata": {
+ "id": "i-DQdSUPVFq0"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import json\n",
+ "import zipfile\n",
+ "import numpy as np\n",
+ "import os\n",
+ "import pandas as pd"
+ ],
+ "metadata": {
+ "id": "DwtDZljcMhFK"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "collection_name = \"news_reccomender\"\n",
+ "kaggle_api_key = os.environ['KAGGLE_API_KEY']\n",
+ "kaggle_username = os.environ['KAGGLE_USERNAME']"
+ ],
+ "metadata": {
+ "id": "gOvVvbluCOiL"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!mkdir ~/.kaggle\n",
+ "!touch ~/.kaggle/kaggle.json\n",
+ "\n",
+ "### get your kaggle token from kaggle.com\n",
+ "api_token = {\"username\":kaggle_username,\"key\":kaggle_api_key}\n",
+ "\n",
+ "\n",
+ "with open('/root/.kaggle/kaggle.json', 'w') as file:\n",
+ " json.dump(api_token, file)\n",
+ "\n",
+ "!chmod 600 ~/.kaggle/kaggle.json"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "xsjbri4BMhL-",
+ "outputId": "6fe94e29-503e-4175-ce37-dfaec88d562d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "mkdir: cannot create directory ‘/root/.kaggle’: File exists\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "! kaggle datasets download savasy/ttc4900"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "sYazS86kMf8O",
+ "outputId": "5950d1f2-8084-45eb-a2f7-a2a3b3d2e435"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Downloading ttc4900.zip to /content\n",
+ " 60% 2.00M/3.34M [00:00<00:00, 2.96MB/s]\n",
+ "100% 3.34M/3.34M [00:00<00:00, 3.91MB/s]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "dataset_zip = \"/content/ttc4900.zip\"\n",
+ "with zipfile.ZipFile(dataset_zip, \"r\") as zip_ref:\n",
+ " zip_ref.extractall(\"/content\")"
+ ],
+ "metadata": {
+ "id": "6pHM2JMTM1Po"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "df = pd.read_csv('/content/7allV03.csv')\n",
+ "df"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 6695
+ },
+ "id": "GsNVabb9NT6p",
+ "outputId": "2af5c046-452a-4313-86bb-769e361a3d9d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ " category text\n",
+ "0 siyaset 3 milyon ile ön seçim vaadi mhp nin 10 olağan...\n",
+ "1 siyaset mesut_yılmaz yüce_divan da ceza alabilirdi pr...\n",
+ "2 siyaset disko lar kaldırılıyor başbakan_yardımcısı ar...\n",
+ "3 siyaset sarıgül anayasa_mahkemesi ne gidiyor mustafa_...\n",
+ "4 siyaset erdoğan idamın bir haklılık sebebi var demek ...\n",
+ "... ... ...\n",
+ "4895 teknoloji iphone lara geri dönüyor ios 6 sürümüyle tele...\n",
+ "4896 teknoloji muslukta devrim sadece elimizi yıkadığımız mu...\n",
+ "4897 teknoloji halka iyi anlatılmalı bilgi_teknolojileri ile...\n",
+ "4898 teknoloji çöpe gidiyorlar apple 775 bin uygulamayla app...\n",
+ "4899 teknoloji google bu kez edward_gorey dedi ! google bu k...\n",
+ "\n",
+ "[4900 rows x 2 columns]"
+ ],
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " category | \n",
+ " text | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " siyaset | \n",
+ " 3 milyon ile ön seçim vaadi mhp nin 10 olağan... | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " siyaset | \n",
+ " mesut_yılmaz yüce_divan da ceza alabilirdi pr... | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " siyaset | \n",
+ " disko lar kaldırılıyor başbakan_yardımcısı ar... | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " siyaset | \n",
+ " sarıgül anayasa_mahkemesi ne gidiyor mustafa_... | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " siyaset | \n",
+ " erdoğan idamın bir haklılık sebebi var demek ... | \n",
+ "
\n",
+ " \n",
+ " | ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " | 4895 | \n",
+ " teknoloji | \n",
+ " iphone lara geri dönüyor ios 6 sürümüyle tele... | \n",
+ "
\n",
+ " \n",
+ " | 4896 | \n",
+ " teknoloji | \n",
+ " muslukta devrim sadece elimizi yıkadığımız mu... | \n",
+ "
\n",
+ " \n",
+ " | 4897 | \n",
+ " teknoloji | \n",
+ " halka iyi anlatılmalı bilgi_teknolojileri ile... | \n",
+ "
\n",
+ " \n",
+ " | 4898 | \n",
+ " teknoloji | \n",
+ " çöpe gidiyorlar apple 775 bin uygulamayla app... | \n",
+ "
\n",
+ " \n",
+ " | 4899 | \n",
+ " teknoloji | \n",
+ " google bu kez edward_gorey dedi ! google bu k... | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
4900 rows × 2 columns
\n",
+ "
\n",
+ "
\n",
+ "\n",
+ "\n",
+ "\n",
+ "
\n",
+ "
\n",
+ "
\n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "
\n",
+ "
\n"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 7
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "text/html": [
+ "Categorical distributions
\n",
+ ""
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "import numpy as np\n",
+ "from google.colab import autoviz\n",
+ "\n",
+ "def categorical_histogram(df, colname, figscale=1, mpl_palette_name='Dark2'):\n",
+ " from matplotlib import pyplot as plt\n",
+ " import seaborn as sns\n",
+ " df.groupby(colname).size().plot(kind='barh', color=sns.palettes.mpl_palette(mpl_palette_name), figsize=(8*figscale, 4.8*figscale))\n",
+ " plt.gca().spines[['top', 'right',]].set_visible(False)\n",
+ " return autoviz.MplChart.from_current_mpl_state()\n",
+ "\n",
+ "chart = categorical_histogram(df, *['category'], **{})\n",
+ "chart"
+ ],
+ "text/html": [
+ " \n",
+ "

\n",
+ " \n",
+ "
\n",
+ " \n",
+ " \n",
+ " "
+ ]
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Since Dataset is in Turkish Language, we are going to use an embedding model for Turkish language."
+ ],
+ "metadata": {
+ "id": "tEVbjbQaVbaI"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from sentence_transformers import SentenceTransformer\n",
+ "encoder = SentenceTransformer(\"emrecan/bert-base-turkish-cased-mean-nli-stsb-tr\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 401,
+ "referenced_widgets": [
+ "a4e6b052599848fb914714e8a26bd355",
+ "fd73488e1e004b12afb7a26895baa7c2",
+ "106d9340b6b04c08aafbd63e1afc6d7a",
+ "535c0549ef454091b3364b8562aeb67f",
+ "8e9d03aa48794b9e82b2ca39f7f2709b",
+ "bae67706a4da4297a9904c860a128503",
+ "b3bb63f968aa492a9692e3e65737bb0f",
+ "71935f59aa8042a08ee50d749364d95c",
+ "6373e66f55734c1180d9ef43f6432017",
+ "adf77d4a3079475493e3989a7c2e9507",
+ "c4ae4ddbb6af42a0bbfe965f26f73a92",
+ "e69ec5362e1047479e42889a3a81e8e5",
+ "eb604aa568b140dab6ac59041e8ddb6b",
+ "8fc44714b12b4436a9967205792ed370",
+ "2257d00a43d1498797b1f588efa729cf",
+ "cfd7a90309c74756899ad3adea126d90",
+ "cacb78d6aabf451288652d3d8cec3333",
+ "f5684f0ddca8446db70c5598904f5f46",
+ "5b1550c4d6014a18810817c28d80ddcb",
+ "ad9ee76e588a4f348a96a3e03c558b81",
+ "d67094f7989c45e9b771824df4a21733",
+ "22290d6389ae4fb7a88bb38abad8ff36",
+ "c05a8a3d705c4a62a5b8b3f078b9667c",
+ "c1bb2625fa0247ed884077379074fab8",
+ "2a3f63923b8e4abeb9169f4200bcf49e",
+ "82eed1919c16433885bdbbd8e0ad8e17",
+ "bd4235c328b24352b700ee72dd9af021",
+ "84df39c5c53c45c2add4d635a7d0d4ab",
+ "22fd47a9daf44a24b1ad43f8db0da91b",
+ "2e633be2eac84537873e504da330a5f1",
+ "52c638abd8854587a2415cab86001e2c",
+ "83ee6210b512450ca0aabe12f18ed6c5",
+ "724fa60d871b4d69bc538af97e082611",
+ "2b5bef6a189e4943893a3d9f514f6321",
+ "79ffeb6f9f0d43508ac588fc3b2f9cd4",
+ "9cebd8e425f64cd4a0810036b8094dfe",
+ "7b670d80da99480bbcb08b7a1f3bf251",
+ "a8502e47b58b4d2390d47a50d4a86060",
+ "0cb27ff1e5494786b8e1cdb02f0218ab",
+ "7858b91f82e04a3a9bd8a88103b7ae9f",
+ "dbbdfa3163734d3c930a824907cc7328",
+ "3aa7a00577b94f66ba5e648082322e95",
+ "7214192b26c4423fb32ab2105b587a11",
+ "359c37072572464aac7b86977d491465",
+ "65f618baca564a9dadb75f9f6167c597",
+ "7c5f6a9b874e45d585203ef3bab469be",
+ "5907f03cc9b8461ba99615e1dfbece4c",
+ "a0ca5f1a66bf4fc99228fb555d30e46a",
+ "045678ad904d4555b9f3fce7933400a9",
+ "0ae84c87a84843329b2797f907f9395d",
+ "8af3ba459d86492bb371703e60a70503",
+ "20b2da86e8ef45e2afcbe4eee2369345",
+ "606ecd5ef6b7476497ef5cd6764989b1",
+ "5c73fd431c974ad19edd89360fdaefa4",
+ "afcc3b00c6a44c53b945a5035ba9031b",
+ "7f675ddc06384028acfbf09bc9cd2008",
+ "bee6f50932534280af3fcb59325c91e8",
+ "c728ac0a67bb4dc0bba561395cf25f08",
+ "f31cb001e59c436e9d05d790250203de",
+ "bff87ca70ed447bcab75a6a694b548ab",
+ "e0c477e4411d4a07b6138d2ef6d73c54",
+ "4c7e1c5434e049098be44a4d29eaafce",
+ "adde04640a9f4397b334f5b3e53f0d1c",
+ "07bf23d475a443268496e7a39405f59c",
+ "fe09ab20c1e74592bcf7a32bd4e18841",
+ "6e55a88b8b82412fb9c049eaade06b5e",
+ "c60c234fc01f4429bedac3a5600fa229",
+ "a3959187f5b142ffbb89dd5ebb8bb45f",
+ "20ab58195b9f4d549bdbdc8d50c1ebe9",
+ "c36585247d0447e0895eb263b4078764",
+ "708108a0bef348eabc267559ce5c3fb2",
+ "af841358cc5f412fadad4d7c96ac5ab8",
+ "18af4fab960c4f48b9f1b7dfc237d3c7",
+ "bd75b4ce288b43c088af0fcd2b8e665f",
+ "bab78d83152c4f8289f6b4e404e19286",
+ "9056fb5b65f1457881a6c21c01e02d81",
+ "9fbc34472adf446abb28b609655be00c",
+ "80c801c1d8ba4dfeb021608880a8acf2",
+ "747447ad073d4abb94a8f53d3894d2ea",
+ "2ba727e92e9f4bbdbe94524e6c8fae3a",
+ "7e849e943cff46f48837bdf55449ad14",
+ "d79b1d1602d643d4a8277606682c2723",
+ "676839dd09b047829f641f8d71a156aa",
+ "f372a4ee45c54e29bfe37a904062ac3f",
+ "76b839768f704482907290d2d58fb27c",
+ "cf4ec4796dc84a599a061c8f83cc61bc",
+ "756e2563b91246e2a52ec85e5bef68ff",
+ "ff9368d3eaf342eaaa6da71c87575aed",
+ "6ae7c278517344eebed4cad6b295c6e6",
+ "d4ef25951e984b68a0d91ddb6ee0650f",
+ "f4c3ee8c832941e786a118cf840bea50",
+ "bd25ce003554446599d04de7a67323b2",
+ "b9437ff508b24db7a4c510b01bf21aa6",
+ "4d60f87ecc8b40ed97666eb9f4a36118",
+ "7b85f1f910e946b3bd4251d856a85d7a",
+ "928840970e044668a02251efcad5003d",
+ "40df72327abe45d8b52603e8664dd765",
+ "c5aede7d520142cab595538d5236dfbe",
+ "058da44225fe4003b693bdbdaa84ccb7",
+ "2d723a2a5a164c55b0b11f12ab301cf7",
+ "4e070547a96e414a8d5173ebe615e24c",
+ "77d0da2f7f58421d909876edc880ed51",
+ "01e57b9d3f654280b11236712860699e",
+ "93826f1d53f340be8c72f438285094f9",
+ "5a85750debe04721938ec5e15d8c4454",
+ "4e4784071442409b889cc2fda7e3d1f9",
+ "1e8551def872464994c1fccbfb402d29",
+ "8c89348d8f434d61ac5659013af9ab19",
+ "e925c82b532148cba20a61ade1ba8ccc",
+ "0945541f632f4632abc68ffb40cf4df5",
+ "832e925102c248859778ffe1abe85917",
+ "0b83293be07d4970a6f8bd49eaba0029",
+ "577690f03967485da1804dfaa0bc33cb",
+ "a3dd8ce855094a3a961f78ae0eeb6af8",
+ "37256efc6a8d411eae29cca3a6aae006",
+ "a134f01d39d344b59220eea5ad3be257",
+ "04f7ee0b947b471a9b07102ae35628f9",
+ "dd61c3622714432fae53a5184089d509",
+ "080bd41104c44d19bff80af14ad839dc",
+ "3ba70252e4004702a7b0fb82c156eb9d",
+ "2c166b15635d4c3ba714f21b738f1635",
+ "446af08dafd64736ad906e389dbe9a2b",
+ "a86bfe16d4f9458984ab79088bf2da9a",
+ "83393f28b9f94447b5bfc4c6aaa11f69",
+ "68ff61905de54aeca7b832c96d82e991",
+ "f16a6a00d734482faedc66be5b3e1631",
+ "afe6e0ed8be741e4a9c3d04ae5d4ae99",
+ "18b2453be43c467cacee271037d4d26a",
+ "d46d6dfa9cb647d19f2fa0e00d22bb3b",
+ "e1416c3ce1f8433ebdf46b452f586449",
+ "971dc007c2ed4388a82680c675ea8991",
+ "51ac58815366477398f45dfdd8d314cf"
+ ]
+ },
+ "id": "6Haz4hIDNb85",
+ "outputId": "312a8f45-8bf2-4d3d-c9b9-99755dc70e44"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)98800/.gitattributes: 0%| | 0.00/1.23k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "a4e6b052599848fb914714e8a26bd355"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)_Pooling/config.json: 0%| | 0.00/190 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "e69ec5362e1047479e42889a3a81e8e5"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)c24f398800/README.md: 0%| | 0.00/5.89k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "c05a8a3d705c4a62a5b8b3f078b9667c"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)4f398800/config.json: 0%| | 0.00/693 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "2b5bef6a189e4943893a3d9f514f6321"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)ce_transformers.json: 0%| | 0.00/123 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "65f618baca564a9dadb75f9f6167c597"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading pytorch_model.bin: 0%| | 0.00/443M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "7f675ddc06384028acfbf09bc9cd2008"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)nce_bert_config.json: 0%| | 0.00/52.0 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "c60c234fc01f4429bedac3a5600fa229"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)cial_tokens_map.json: 0%| | 0.00/112 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "80c801c1d8ba4dfeb021608880a8acf2"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)98800/tokenizer.json: 0%| | 0.00/498k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "6ae7c278517344eebed4cad6b295c6e6"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)okenizer_config.json: 0%| | 0.00/431 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "2d723a2a5a164c55b0b11f12ab301cf7"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)c24f398800/vocab.txt: 0%| | 0.00/251k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "832e925102c248859778ffe1abe85917"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)f398800/modules.json: 0%| | 0.00/229 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "446af08dafd64736ad906e389dbe9a2b"
+ }
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from qdrant_client import QdrantClient"
+ ],
+ "metadata": {
+ "id": "XcICy0yr2GtN"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Before connecting, you need to go `[Qdrant](https://qdrant.tech/)` and open an account\n",
+ "- Once you open account you can go to cloud and get your credentials for connecting"
+ ],
+ "metadata": {
+ "id": "fvZYHhycVxf-"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "collection_name = \"news_reccomender\"\n",
+ "qdrant_api_key = os.environ['QDRANT_API_KEY']\n",
+ "qdrant_url = os.environ['QDRANT_URL']"
+ ],
+ "metadata": {
+ "id": "Qc1hp5nPB9aA"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "qdrant_client = QdrantClient(\n",
+ " url=qdrant_url,\n",
+ " api_key=qdrant_api_key\n",
+ " )"
+ ],
+ "metadata": {
+ "id": "mdtX3gvZJH0V"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Creating a collection is a simple task, here we name our collection news_reccomender"
+ ],
+ "metadata": {
+ "id": "wkxBTf-6Vs1-"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "qdrant_client.recreate_collection(\n",
+ "\tcollection_name=collection_name,\n",
+ "\tvectors_config=models.VectorParams(\n",
+ "\t\tsize=encoder.get_sentence_embedding_dimension(), # Vector size is defined by used model\n",
+ "\t\tdistance=models.Distance.COSINE,\n",
+ "\t\ton_disk=True\n",
+ "\t)\n",
+ ")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NUZbREAWVrv7",
+ "outputId": "b40e245f-0643-4025-85c9-1a1b008dd946"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 21
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Once you created you collection, you can use following code to upload your records\n",
+ "- You can also verify your collection with followng code"
+ ],
+ "metadata": {
+ "id": "oAVvhMkeWQz-"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "collection_info = qdrant_client.get_collection(collection_name=collection_name)\n",
+ "list(collection_info)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "OQSWhgSRXC7O",
+ "outputId": "db96ab64-5234-4a2d-a071-7f955491b919"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "[('status', ),\n",
+ " ('optimizer_status', ),\n",
+ " ('vectors_count', 0),\n",
+ " ('indexed_vectors_count', 0),\n",
+ " ('points_count', 0),\n",
+ " ('segments_count', 2),\n",
+ " ('config',\n",
+ " CollectionConfig(params=CollectionParams(vectors=VectorParams(size=768, distance=, hnsw_config=None, quantization_config=None, on_disk=True), shard_number=1, replication_factor=1, write_consistency_factor=1, on_disk_payload=True), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=False, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=None, indexing_threshold=20000, flush_interval_sec=5, max_optimization_threads=1), wal_config=WalConfig(wal_capacity_mb=32, wal_segments_ahead=0), quantization_config=None)),\n",
+ " ('payload_schema', {})]"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 22
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "qdrant_client.upload_records(\n",
+ "\tcollection_name=collection_name,\n",
+ "\trecords=[\n",
+ "\t\tmodels.Record(\n",
+ "\t\t\tid=idx,\n",
+ "\t\t\tvector=encoder.encode(doc[\"text\"]).tolist(),\n",
+ "\t\t\tpayload=doc\n",
+ "\t\t) for idx, doc in enumerate(df.to_dict(orient='records'))\n",
+ "\t]\n",
+ ")"
+ ],
+ "metadata": {
+ "id": "Jd58lRy4aLtS"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "collection_info = qdrant_client.get_collection(collection_name=collection_name)\n",
+ "list(collection_info)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "LvFMm_PwXTPH",
+ "outputId": "e642ab6f-b72b-4125-a695-5f1797e4d568"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "[('status', ),\n",
+ " ('optimizer_status', ),\n",
+ " ('vectors_count', 4900),\n",
+ " ('indexed_vectors_count', 0),\n",
+ " ('points_count', 4900),\n",
+ " ('segments_count', 2),\n",
+ " ('config',\n",
+ " CollectionConfig(params=CollectionParams(vectors=VectorParams(size=768, distance=, hnsw_config=None, quantization_config=None, on_disk=True), shard_number=1, replication_factor=1, write_consistency_factor=1, on_disk_payload=True), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=False, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=None, indexing_threshold=20000, flush_interval_sec=5, max_optimization_threads=1), wal_config=WalConfig(wal_capacity_mb=32, wal_segments_ahead=0), quantization_config=None)),\n",
+ " ('payload_schema', {})]"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 31
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Now lets recheck our collection"
+ ],
+ "metadata": {
+ "id": "qlGUjzvAXUvR"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "hits = qdrant_client.search(\n",
+ "\tcollection_name=collection_name,\n",
+ "\tquery_vector=encoder.encode(\"Cumhurbaskani yurtdisina\").tolist(),\n",
+ "\tlimit=3\n",
+ ")\n",
+ "for hit in hits:\n",
+ "\tprint(hit.payload, \"score:\", hit.score)"
+ ],
+ "metadata": {
+ "id": "r0FGezO_2ZZW",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "7cfb911c-af27-42b3-e5db-03a74ab2fb38"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "{'category': 'ekonomi ', 'text': ' erdoğan dünyayı dört kez turladı başbakan recep_tayyip_erdoğan 2012 \\x92 de 22 ülkeye 24 ziyaret gerçekleştirdi başbakan_erdoğan \\x92 ın 2012 \\x92 de ziyaret ettiği ülkeler şöyle güney_kore çin azerbaycan 2 pakistan 2 meksika brezilya endonezya brunei bosna_hersek ukrayna slovenya almanya ispanya italya ingiltere bulgaristan katar mısır suudi_arabistan rusya kazakistan ve iran yurt dışı temasları için toplam 165 bin 120 kilometre yol kateden erdoğan \\x92 ın en uzun yolculuğu g 20 zirvesi \\x92 ne katılmak için 12 bin kilometre yol katederek ulaştığı meksika \\x92 nın los cabos kentine oldu erdoğan \\x92 ın yurt dışı ziyaretlerinde katettiği toplam 165 bin 120 kilometre dünya çevresinde yapılacak 4 tura denk geliyor'} score: 0.43037367\n",
+ "{'category': 'siyaset ', 'text': ' emniyet_müdürü nü hemen görevden alın mhp_grup_başkanvekili_oktay_vural diyarbakır emniyet_müdürü recep güven in hemen görevden alınması gerektiğini iddia etti tbmm de basın toplantısı düzenleyen vural genel_kurul da yarın irak ın kuzeyine sınırötesi operasyon yapma konusunda hükümete yetki veren başbakanlık tezkeresi nin görüşüleceğini hatırlattı mhp olarak tezkereye bir daha olumlu oy vereceklerini dile getiren vural 7 kez getirilen tezkereye rağmen türkiye nin pkk nın güvenli bölgelerini bertaraf edemediğini söyledi vural tezkerenin pkk terör örgütünün faaliyetlerine son vermek amacıyla mı tbmm ye getirildiğini yoksa milletin gazını almak terörle mücadele ediyor gözükmek için mi getirildiğini milletimizin takdirine bırakıyorum kullanmıyorsun bunları yazıyoruz gün gelecek devran dönecek bu yetkileri kullanmayanlar kullanmakta gaflet gösterenler hukuk önünde hesap verecek bu milletsize bir yetki vermişse o yetkiyi kullanacaksın diye konuştu diyarbakır emniyet_müdürü recep güven in sözlerini eleştiren vural bu konu hafife alınacak bir konu değildir dedi bugün rehabilitasyon ve bakım merkezini ziyaret ettiğini orada elleri ve kolları olmayan mehmetçiklerin bulunduğuna dikkati çeken vural şöyle devam etti bunlar kimin için ayaklarını kollarını verdi bebelere kurşun sıkanlara arkadan vuranlar için ağlayana söylüyorum ağlamayanlar insan değilmiş değil mi gazetelerde bir takım köşe yazarları manşetler atılıyor utanmalısınız be insanlığı öldürenler için ağlıyorsun önce o ölen insanlar için ağlamayı bileceksin bu ne hadsizliktir empati yapalım şu zihniyete bakın sen kim oluyorsun benim insanlığımı sen sorgulayamazsın dil uzatamazsın bu yurdun ekmeğini yiyorsanız suyunu içiyorsanız havasını kokluyorsanız köşenizi yazıyorsanız program yapıyorsanız bilin ki o şehitlerin sayesindedir terör örgütünü makul empati kurulması gereken insanlar olarak göstererek terörle mücadeleyi dışlayan anlayışı kabul edemeyiz kan akıyor kan gazeteci ahmet taner kışlalı yı öldürenlere de mi empati yapılacak teröristle empati yapacakmışız yok öyle bir şey türkiye hukuk devleti ise cezası bellidir şahin görünümlü güvercin vural başbakan_recep_tayyip_erdoğan ın grup toplantısında başbakan yardımcısı bülent_arınç ın bakanlar_kurulu toplantısı sonrasında ak_parti grup başkanvekili ahmet_aydın ın da yaptığı açıklamaları gazetecilere dinleterek başbakan_yardımcısı takdirle karşılıyorum diyor grup başkanvekili insani ve vicdani diyor başbakan ağlamayız diyor hangisine inanacaksınız diye konuştu erdoğan ın cumhurbaşkanı olmak istediğini ileri süren vural başbakan akp nin yapacaklarını demeyecek başbakan ın diyemediklerini akp yapacak bu ikircikli yaklaşım iliklerine kadar akp ye yapışmıştır dedi vural ak_parti nin terörle mücadele politikasını eleştirerek şahin görünümlü güvercin politikası uyguluyorlar ifadesini kullandı mhp li vural başbakan çok kritik bir yerde görev verilen bir kimsenin terör örgütüne empati beslenmesini gerektiğini söyleyen zihniyet karşısında siyasal duruşunuz varsa bu siyasal duruşunuza samimiyetle inanmamızı da arzu ediyorsanız diyarbakır emniyet_müdürü nü hemen görevden alın o zaman grup başkanvekiline ve başbakan yardımcına da bu konuda ne yapılması gerekiyorsa yap da inanalım yoksa laftan başka bir anlam taşımıyor dedi oslo daki görüşmelerde terör örgütü temsilcilerinden adem uzun adında birinin bulunduğunu bu kişinin daha sonra tank savar pazarlığı yaparken yakalandığını ileri süren vural bir elleri silahta bir elleri masada pkk ya tanksavar almak isteyen insanlarla masa kurmuşlar pazarlık ediyorlar belki de yeni oslo larla tanksavar ve uçaksavar almak için de bir görüşme planlayabilirler diye konuştu tasarının amacı siyasi vural gazetecilerin sorularını da cevaplandırdı büyükşehir_belediyesi kanunu tasarısı na ilişkin soru üzerine vural bu konuda grubu acil toplantıya çağırdıklarını söyledi bir oldu bitti ve dayatmayla karşı karşıya olduklarını ifade eden vural ak_parti nin demokrasinin köklerini kurutmak istediğini öne sürdü vural köyleri belde belediyeleri kaldırıyorlar bunun amacı siyasidir açık ve net bunlar insanların seçme hakkına saygı göstermiyorlar diye konuştu vural tasarıya göre mhp li 231 belediyenin kapatılacağını vurguladı vural seçilme yaşının 18 e düşürülmesine ilişkin önerinin de düşünülmeden ulu orta yapıldığını iddia ederek 18 yaşın seçme hakkı veriyorsun askerlik hizmetini yapma mecburiyeti var erlere seçme hakkı veriyorsun nasıl propaganda yapacaklar bize somut olarak gelmiş bir teklif yok dedi aa'} score: 0.36531544\n",
+ "{'category': 'dunya ', 'text': ' cemil_çiçek bakü de türkiye_büyük_millet_meclisi tbmm başkanı cemil_çiçek azerbaycan ın başkenti bakü ye geldi çiçek karadeniz ekonomik işbirliği parlamenter asamblesi keipa genel_kurul toplantısı na katılacak özel uçak dap ile bakü ye gelen çiçek ve beraberindeki heyeti azerbaycan meclis başkan_yardımcısı ziyafet askerov ve türkiye nin büyükelçiliği yetkilileri karşıladı çiçek bakü de çeşitli iş çevrelerinin toplantıların da katılacak azerbaycan cumhurbaşkanı ilham aliye in çiçek i kabul etmesi bekleniyor cihan'} score: 0.36443597\n"
+ ]
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file
From 3cb6c28f64342c0825cd105defbcf54661bfda0d Mon Sep 17 00:00:00 2001
From: Umar Igan <38042220+UmarIgan@users.noreply.github.com>
Date: Tue, 15 Aug 2023 15:07:27 +0300
Subject: [PATCH 3/4] Delete NewsSemanticSearch.ipynb
---
NewsSemanticSearch/NewsSemanticSearch.ipynb | 5422 -------------------
1 file changed, 5422 deletions(-)
delete mode 100644 NewsSemanticSearch/NewsSemanticSearch.ipynb
diff --git a/NewsSemanticSearch/NewsSemanticSearch.ipynb b/NewsSemanticSearch/NewsSemanticSearch.ipynb
deleted file mode 100644
index c66eb19..0000000
--- a/NewsSemanticSearch/NewsSemanticSearch.ipynb
+++ /dev/null
@@ -1,5422 +0,0 @@
-{
- "nbformat": 4,
- "nbformat_minor": 0,
- "metadata": {
- "colab": {
- "provenance": []
- },
- "kernelspec": {
- "name": "python3",
- "display_name": "Python 3"
- },
- "language_info": {
- "name": "python"
- },
- "widgets": {
- "application/vnd.jupyter.widget-state+json": {
- "a4e6b052599848fb914714e8a26bd355": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_fd73488e1e004b12afb7a26895baa7c2",
- "IPY_MODEL_106d9340b6b04c08aafbd63e1afc6d7a",
- "IPY_MODEL_535c0549ef454091b3364b8562aeb67f"
- ],
- "layout": "IPY_MODEL_8e9d03aa48794b9e82b2ca39f7f2709b"
- }
- },
- "fd73488e1e004b12afb7a26895baa7c2": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_bae67706a4da4297a9904c860a128503",
- "placeholder": "",
- "style": "IPY_MODEL_b3bb63f968aa492a9692e3e65737bb0f",
- "value": "Downloading (…)98800/.gitattributes: 100%"
- }
- },
- "106d9340b6b04c08aafbd63e1afc6d7a": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_71935f59aa8042a08ee50d749364d95c",
- "max": 1229,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_6373e66f55734c1180d9ef43f6432017",
- "value": 1229
- }
- },
- "535c0549ef454091b3364b8562aeb67f": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_adf77d4a3079475493e3989a7c2e9507",
- "placeholder": "",
- "style": "IPY_MODEL_c4ae4ddbb6af42a0bbfe965f26f73a92",
- "value": " 1.23k/1.23k [00:00<00:00, 34.9kB/s]"
- }
- },
- "8e9d03aa48794b9e82b2ca39f7f2709b": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "bae67706a4da4297a9904c860a128503": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "b3bb63f968aa492a9692e3e65737bb0f": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "71935f59aa8042a08ee50d749364d95c": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "6373e66f55734c1180d9ef43f6432017": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "adf77d4a3079475493e3989a7c2e9507": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "c4ae4ddbb6af42a0bbfe965f26f73a92": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "e69ec5362e1047479e42889a3a81e8e5": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_eb604aa568b140dab6ac59041e8ddb6b",
- "IPY_MODEL_8fc44714b12b4436a9967205792ed370",
- "IPY_MODEL_2257d00a43d1498797b1f588efa729cf"
- ],
- "layout": "IPY_MODEL_cfd7a90309c74756899ad3adea126d90"
- }
- },
- "eb604aa568b140dab6ac59041e8ddb6b": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_cacb78d6aabf451288652d3d8cec3333",
- "placeholder": "",
- "style": "IPY_MODEL_f5684f0ddca8446db70c5598904f5f46",
- "value": "Downloading (…)_Pooling/config.json: 100%"
- }
- },
- "8fc44714b12b4436a9967205792ed370": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_5b1550c4d6014a18810817c28d80ddcb",
- "max": 190,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_ad9ee76e588a4f348a96a3e03c558b81",
- "value": 190
- }
- },
- "2257d00a43d1498797b1f588efa729cf": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_d67094f7989c45e9b771824df4a21733",
- "placeholder": "",
- "style": "IPY_MODEL_22290d6389ae4fb7a88bb38abad8ff36",
- "value": " 190/190 [00:00<00:00, 11.8kB/s]"
- }
- },
- "cfd7a90309c74756899ad3adea126d90": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "cacb78d6aabf451288652d3d8cec3333": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "f5684f0ddca8446db70c5598904f5f46": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "5b1550c4d6014a18810817c28d80ddcb": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "ad9ee76e588a4f348a96a3e03c558b81": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "d67094f7989c45e9b771824df4a21733": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "22290d6389ae4fb7a88bb38abad8ff36": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "c05a8a3d705c4a62a5b8b3f078b9667c": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_c1bb2625fa0247ed884077379074fab8",
- "IPY_MODEL_2a3f63923b8e4abeb9169f4200bcf49e",
- "IPY_MODEL_82eed1919c16433885bdbbd8e0ad8e17"
- ],
- "layout": "IPY_MODEL_bd4235c328b24352b700ee72dd9af021"
- }
- },
- "c1bb2625fa0247ed884077379074fab8": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_84df39c5c53c45c2add4d635a7d0d4ab",
- "placeholder": "",
- "style": "IPY_MODEL_22fd47a9daf44a24b1ad43f8db0da91b",
- "value": "Downloading (…)c24f398800/README.md: 100%"
- }
- },
- "2a3f63923b8e4abeb9169f4200bcf49e": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_2e633be2eac84537873e504da330a5f1",
- "max": 5889,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_52c638abd8854587a2415cab86001e2c",
- "value": 5889
- }
- },
- "82eed1919c16433885bdbbd8e0ad8e17": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_83ee6210b512450ca0aabe12f18ed6c5",
- "placeholder": "",
- "style": "IPY_MODEL_724fa60d871b4d69bc538af97e082611",
- "value": " 5.89k/5.89k [00:00<00:00, 365kB/s]"
- }
- },
- "bd4235c328b24352b700ee72dd9af021": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "84df39c5c53c45c2add4d635a7d0d4ab": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "22fd47a9daf44a24b1ad43f8db0da91b": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "2e633be2eac84537873e504da330a5f1": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "52c638abd8854587a2415cab86001e2c": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "83ee6210b512450ca0aabe12f18ed6c5": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "724fa60d871b4d69bc538af97e082611": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "2b5bef6a189e4943893a3d9f514f6321": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_79ffeb6f9f0d43508ac588fc3b2f9cd4",
- "IPY_MODEL_9cebd8e425f64cd4a0810036b8094dfe",
- "IPY_MODEL_7b670d80da99480bbcb08b7a1f3bf251"
- ],
- "layout": "IPY_MODEL_a8502e47b58b4d2390d47a50d4a86060"
- }
- },
- "79ffeb6f9f0d43508ac588fc3b2f9cd4": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_0cb27ff1e5494786b8e1cdb02f0218ab",
- "placeholder": "",
- "style": "IPY_MODEL_7858b91f82e04a3a9bd8a88103b7ae9f",
- "value": "Downloading (…)4f398800/config.json: 100%"
- }
- },
- "9cebd8e425f64cd4a0810036b8094dfe": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_dbbdfa3163734d3c930a824907cc7328",
- "max": 693,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_3aa7a00577b94f66ba5e648082322e95",
- "value": 693
- }
- },
- "7b670d80da99480bbcb08b7a1f3bf251": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_7214192b26c4423fb32ab2105b587a11",
- "placeholder": "",
- "style": "IPY_MODEL_359c37072572464aac7b86977d491465",
- "value": " 693/693 [00:00<00:00, 31.6kB/s]"
- }
- },
- "a8502e47b58b4d2390d47a50d4a86060": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "0cb27ff1e5494786b8e1cdb02f0218ab": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "7858b91f82e04a3a9bd8a88103b7ae9f": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "dbbdfa3163734d3c930a824907cc7328": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "3aa7a00577b94f66ba5e648082322e95": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "7214192b26c4423fb32ab2105b587a11": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "359c37072572464aac7b86977d491465": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "65f618baca564a9dadb75f9f6167c597": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_7c5f6a9b874e45d585203ef3bab469be",
- "IPY_MODEL_5907f03cc9b8461ba99615e1dfbece4c",
- "IPY_MODEL_a0ca5f1a66bf4fc99228fb555d30e46a"
- ],
- "layout": "IPY_MODEL_045678ad904d4555b9f3fce7933400a9"
- }
- },
- "7c5f6a9b874e45d585203ef3bab469be": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_0ae84c87a84843329b2797f907f9395d",
- "placeholder": "",
- "style": "IPY_MODEL_8af3ba459d86492bb371703e60a70503",
- "value": "Downloading (…)ce_transformers.json: 100%"
- }
- },
- "5907f03cc9b8461ba99615e1dfbece4c": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_20b2da86e8ef45e2afcbe4eee2369345",
- "max": 123,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_606ecd5ef6b7476497ef5cd6764989b1",
- "value": 123
- }
- },
- "a0ca5f1a66bf4fc99228fb555d30e46a": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_5c73fd431c974ad19edd89360fdaefa4",
- "placeholder": "",
- "style": "IPY_MODEL_afcc3b00c6a44c53b945a5035ba9031b",
- "value": " 123/123 [00:00<00:00, 1.47kB/s]"
- }
- },
- "045678ad904d4555b9f3fce7933400a9": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "0ae84c87a84843329b2797f907f9395d": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "8af3ba459d86492bb371703e60a70503": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "20b2da86e8ef45e2afcbe4eee2369345": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "606ecd5ef6b7476497ef5cd6764989b1": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "5c73fd431c974ad19edd89360fdaefa4": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "afcc3b00c6a44c53b945a5035ba9031b": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "7f675ddc06384028acfbf09bc9cd2008": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_bee6f50932534280af3fcb59325c91e8",
- "IPY_MODEL_c728ac0a67bb4dc0bba561395cf25f08",
- "IPY_MODEL_f31cb001e59c436e9d05d790250203de"
- ],
- "layout": "IPY_MODEL_bff87ca70ed447bcab75a6a694b548ab"
- }
- },
- "bee6f50932534280af3fcb59325c91e8": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_e0c477e4411d4a07b6138d2ef6d73c54",
- "placeholder": "",
- "style": "IPY_MODEL_4c7e1c5434e049098be44a4d29eaafce",
- "value": "Downloading pytorch_model.bin: 100%"
- }
- },
- "c728ac0a67bb4dc0bba561395cf25f08": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_adde04640a9f4397b334f5b3e53f0d1c",
- "max": 442547953,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_07bf23d475a443268496e7a39405f59c",
- "value": 442547953
- }
- },
- "f31cb001e59c436e9d05d790250203de": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_fe09ab20c1e74592bcf7a32bd4e18841",
- "placeholder": "",
- "style": "IPY_MODEL_6e55a88b8b82412fb9c049eaade06b5e",
- "value": " 443M/443M [00:20<00:00, 22.7MB/s]"
- }
- },
- "bff87ca70ed447bcab75a6a694b548ab": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "e0c477e4411d4a07b6138d2ef6d73c54": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "4c7e1c5434e049098be44a4d29eaafce": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "adde04640a9f4397b334f5b3e53f0d1c": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "07bf23d475a443268496e7a39405f59c": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "fe09ab20c1e74592bcf7a32bd4e18841": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "6e55a88b8b82412fb9c049eaade06b5e": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "c60c234fc01f4429bedac3a5600fa229": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_a3959187f5b142ffbb89dd5ebb8bb45f",
- "IPY_MODEL_20ab58195b9f4d549bdbdc8d50c1ebe9",
- "IPY_MODEL_c36585247d0447e0895eb263b4078764"
- ],
- "layout": "IPY_MODEL_708108a0bef348eabc267559ce5c3fb2"
- }
- },
- "a3959187f5b142ffbb89dd5ebb8bb45f": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_af841358cc5f412fadad4d7c96ac5ab8",
- "placeholder": "",
- "style": "IPY_MODEL_18af4fab960c4f48b9f1b7dfc237d3c7",
- "value": "Downloading (…)nce_bert_config.json: 100%"
- }
- },
- "20ab58195b9f4d549bdbdc8d50c1ebe9": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_bd75b4ce288b43c088af0fcd2b8e665f",
- "max": 52,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_bab78d83152c4f8289f6b4e404e19286",
- "value": 52
- }
- },
- "c36585247d0447e0895eb263b4078764": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_9056fb5b65f1457881a6c21c01e02d81",
- "placeholder": "",
- "style": "IPY_MODEL_9fbc34472adf446abb28b609655be00c",
- "value": " 52.0/52.0 [00:00<00:00, 515B/s]"
- }
- },
- "708108a0bef348eabc267559ce5c3fb2": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "af841358cc5f412fadad4d7c96ac5ab8": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "18af4fab960c4f48b9f1b7dfc237d3c7": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "bd75b4ce288b43c088af0fcd2b8e665f": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "bab78d83152c4f8289f6b4e404e19286": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "9056fb5b65f1457881a6c21c01e02d81": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "9fbc34472adf446abb28b609655be00c": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "80c801c1d8ba4dfeb021608880a8acf2": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_747447ad073d4abb94a8f53d3894d2ea",
- "IPY_MODEL_2ba727e92e9f4bbdbe94524e6c8fae3a",
- "IPY_MODEL_7e849e943cff46f48837bdf55449ad14"
- ],
- "layout": "IPY_MODEL_d79b1d1602d643d4a8277606682c2723"
- }
- },
- "747447ad073d4abb94a8f53d3894d2ea": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_676839dd09b047829f641f8d71a156aa",
- "placeholder": "",
- "style": "IPY_MODEL_f372a4ee45c54e29bfe37a904062ac3f",
- "value": "Downloading (…)cial_tokens_map.json: 100%"
- }
- },
- "2ba727e92e9f4bbdbe94524e6c8fae3a": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_76b839768f704482907290d2d58fb27c",
- "max": 112,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_cf4ec4796dc84a599a061c8f83cc61bc",
- "value": 112
- }
- },
- "7e849e943cff46f48837bdf55449ad14": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_756e2563b91246e2a52ec85e5bef68ff",
- "placeholder": "",
- "style": "IPY_MODEL_ff9368d3eaf342eaaa6da71c87575aed",
- "value": " 112/112 [00:00<00:00, 1.49kB/s]"
- }
- },
- "d79b1d1602d643d4a8277606682c2723": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "676839dd09b047829f641f8d71a156aa": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "f372a4ee45c54e29bfe37a904062ac3f": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "76b839768f704482907290d2d58fb27c": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "cf4ec4796dc84a599a061c8f83cc61bc": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "756e2563b91246e2a52ec85e5bef68ff": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "ff9368d3eaf342eaaa6da71c87575aed": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "6ae7c278517344eebed4cad6b295c6e6": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_d4ef25951e984b68a0d91ddb6ee0650f",
- "IPY_MODEL_f4c3ee8c832941e786a118cf840bea50",
- "IPY_MODEL_bd25ce003554446599d04de7a67323b2"
- ],
- "layout": "IPY_MODEL_b9437ff508b24db7a4c510b01bf21aa6"
- }
- },
- "d4ef25951e984b68a0d91ddb6ee0650f": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_4d60f87ecc8b40ed97666eb9f4a36118",
- "placeholder": "",
- "style": "IPY_MODEL_7b85f1f910e946b3bd4251d856a85d7a",
- "value": "Downloading (…)98800/tokenizer.json: 100%"
- }
- },
- "f4c3ee8c832941e786a118cf840bea50": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_928840970e044668a02251efcad5003d",
- "max": 497553,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_40df72327abe45d8b52603e8664dd765",
- "value": 497553
- }
- },
- "bd25ce003554446599d04de7a67323b2": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_c5aede7d520142cab595538d5236dfbe",
- "placeholder": "",
- "style": "IPY_MODEL_058da44225fe4003b693bdbdaa84ccb7",
- "value": " 498k/498k [00:00<00:00, 953kB/s]"
- }
- },
- "b9437ff508b24db7a4c510b01bf21aa6": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "4d60f87ecc8b40ed97666eb9f4a36118": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "7b85f1f910e946b3bd4251d856a85d7a": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "928840970e044668a02251efcad5003d": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "40df72327abe45d8b52603e8664dd765": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "c5aede7d520142cab595538d5236dfbe": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "058da44225fe4003b693bdbdaa84ccb7": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "2d723a2a5a164c55b0b11f12ab301cf7": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_4e070547a96e414a8d5173ebe615e24c",
- "IPY_MODEL_77d0da2f7f58421d909876edc880ed51",
- "IPY_MODEL_01e57b9d3f654280b11236712860699e"
- ],
- "layout": "IPY_MODEL_93826f1d53f340be8c72f438285094f9"
- }
- },
- "4e070547a96e414a8d5173ebe615e24c": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_5a85750debe04721938ec5e15d8c4454",
- "placeholder": "",
- "style": "IPY_MODEL_4e4784071442409b889cc2fda7e3d1f9",
- "value": "Downloading (…)okenizer_config.json: 100%"
- }
- },
- "77d0da2f7f58421d909876edc880ed51": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_1e8551def872464994c1fccbfb402d29",
- "max": 431,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_8c89348d8f434d61ac5659013af9ab19",
- "value": 431
- }
- },
- "01e57b9d3f654280b11236712860699e": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_e925c82b532148cba20a61ade1ba8ccc",
- "placeholder": "",
- "style": "IPY_MODEL_0945541f632f4632abc68ffb40cf4df5",
- "value": " 431/431 [00:00<00:00, 7.57kB/s]"
- }
- },
- "93826f1d53f340be8c72f438285094f9": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "5a85750debe04721938ec5e15d8c4454": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "4e4784071442409b889cc2fda7e3d1f9": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "1e8551def872464994c1fccbfb402d29": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "8c89348d8f434d61ac5659013af9ab19": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "e925c82b532148cba20a61ade1ba8ccc": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "0945541f632f4632abc68ffb40cf4df5": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "832e925102c248859778ffe1abe85917": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_0b83293be07d4970a6f8bd49eaba0029",
- "IPY_MODEL_577690f03967485da1804dfaa0bc33cb",
- "IPY_MODEL_a3dd8ce855094a3a961f78ae0eeb6af8"
- ],
- "layout": "IPY_MODEL_37256efc6a8d411eae29cca3a6aae006"
- }
- },
- "0b83293be07d4970a6f8bd49eaba0029": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_a134f01d39d344b59220eea5ad3be257",
- "placeholder": "",
- "style": "IPY_MODEL_04f7ee0b947b471a9b07102ae35628f9",
- "value": "Downloading (…)c24f398800/vocab.txt: 100%"
- }
- },
- "577690f03967485da1804dfaa0bc33cb": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_dd61c3622714432fae53a5184089d509",
- "max": 251003,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_080bd41104c44d19bff80af14ad839dc",
- "value": 251003
- }
- },
- "a3dd8ce855094a3a961f78ae0eeb6af8": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_3ba70252e4004702a7b0fb82c156eb9d",
- "placeholder": "",
- "style": "IPY_MODEL_2c166b15635d4c3ba714f21b738f1635",
- "value": " 251k/251k [00:00<00:00, 5.07MB/s]"
- }
- },
- "37256efc6a8d411eae29cca3a6aae006": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "a134f01d39d344b59220eea5ad3be257": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "04f7ee0b947b471a9b07102ae35628f9": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "dd61c3622714432fae53a5184089d509": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "080bd41104c44d19bff80af14ad839dc": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "3ba70252e4004702a7b0fb82c156eb9d": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "2c166b15635d4c3ba714f21b738f1635": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "446af08dafd64736ad906e389dbe9a2b": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HBoxModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HBoxModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HBoxView",
- "box_style": "",
- "children": [
- "IPY_MODEL_a86bfe16d4f9458984ab79088bf2da9a",
- "IPY_MODEL_83393f28b9f94447b5bfc4c6aaa11f69",
- "IPY_MODEL_68ff61905de54aeca7b832c96d82e991"
- ],
- "layout": "IPY_MODEL_f16a6a00d734482faedc66be5b3e1631"
- }
- },
- "a86bfe16d4f9458984ab79088bf2da9a": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_afe6e0ed8be741e4a9c3d04ae5d4ae99",
- "placeholder": "",
- "style": "IPY_MODEL_18b2453be43c467cacee271037d4d26a",
- "value": "Downloading (…)f398800/modules.json: 100%"
- }
- },
- "83393f28b9f94447b5bfc4c6aaa11f69": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "FloatProgressModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "FloatProgressModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "ProgressView",
- "bar_style": "success",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_d46d6dfa9cb647d19f2fa0e00d22bb3b",
- "max": 229,
- "min": 0,
- "orientation": "horizontal",
- "style": "IPY_MODEL_e1416c3ce1f8433ebdf46b452f586449",
- "value": 229
- }
- },
- "68ff61905de54aeca7b832c96d82e991": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "HTMLModel",
- "model_module_version": "1.5.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "HTMLModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/controls",
- "_view_module_version": "1.5.0",
- "_view_name": "HTMLView",
- "description": "",
- "description_tooltip": null,
- "layout": "IPY_MODEL_971dc007c2ed4388a82680c675ea8991",
- "placeholder": "",
- "style": "IPY_MODEL_51ac58815366477398f45dfdd8d314cf",
- "value": " 229/229 [00:00<00:00, 3.89kB/s]"
- }
- },
- "f16a6a00d734482faedc66be5b3e1631": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "afe6e0ed8be741e4a9c3d04ae5d4ae99": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "18b2453be43c467cacee271037d4d26a": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- },
- "d46d6dfa9cb647d19f2fa0e00d22bb3b": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "e1416c3ce1f8433ebdf46b452f586449": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "ProgressStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "ProgressStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "bar_color": null,
- "description_width": ""
- }
- },
- "971dc007c2ed4388a82680c675ea8991": {
- "model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
- "model_module_version": "1.2.0",
- "state": {
- "_model_module": "@jupyter-widgets/base",
- "_model_module_version": "1.2.0",
- "_model_name": "LayoutModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "LayoutView",
- "align_content": null,
- "align_items": null,
- "align_self": null,
- "border": null,
- "bottom": null,
- "display": null,
- "flex": null,
- "flex_flow": null,
- "grid_area": null,
- "grid_auto_columns": null,
- "grid_auto_flow": null,
- "grid_auto_rows": null,
- "grid_column": null,
- "grid_gap": null,
- "grid_row": null,
- "grid_template_areas": null,
- "grid_template_columns": null,
- "grid_template_rows": null,
- "height": null,
- "justify_content": null,
- "justify_items": null,
- "left": null,
- "margin": null,
- "max_height": null,
- "max_width": null,
- "min_height": null,
- "min_width": null,
- "object_fit": null,
- "object_position": null,
- "order": null,
- "overflow": null,
- "overflow_x": null,
- "overflow_y": null,
- "padding": null,
- "right": null,
- "top": null,
- "visibility": null,
- "width": null
- }
- },
- "51ac58815366477398f45dfdd8d314cf": {
- "model_module": "@jupyter-widgets/controls",
- "model_name": "DescriptionStyleModel",
- "model_module_version": "1.5.0",
- "state": {
- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
- "_model_name": "DescriptionStyleModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/base",
- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- }
- }
- }
- },
- "cells": [
- {
- "cell_type": "code",
- "source": [
- "!pip install qdrant-client transformers\n",
- "!pip install sentence_transformers\n",
- "! pip install kaggle\n",
- "! mkdir ~/.kaggle\n",
- "! cp kaggle.json ~/.kaggle/\n",
- "! chmod 600 ~/.kaggle/kaggle.json"
- ],
- "metadata": {
- "id": "A9UGusuv2GqY",
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "outputId": "d32fb84e-c3ef-4bcf-8ec7-1a55ce585180"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "stream",
- "name": "stdout",
- "text": [
- "Collecting qdrant-client\n",
- " Downloading qdrant_client-1.4.0-py3-none-any.whl (132 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.5/132.5 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hCollecting transformers\n",
- " Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.4/7.4 MB\u001b[0m \u001b[31m63.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: grpcio>=1.41.0 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (1.56.2)\n",
- "Collecting grpcio-tools>=1.41.0 (from qdrant-client)\n",
- " Downloading grpcio_tools-1.57.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.6/2.6 MB\u001b[0m \u001b[31m69.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hCollecting httpx[http2]>=0.14.0 (from qdrant-client)\n",
- " Downloading httpx-0.24.1-py3-none-any.whl (75 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.4/75.4 kB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: numpy>=1.21 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (1.23.5)\n",
- "Collecting portalocker<3.0.0,>=2.7.0 (from qdrant-client)\n",
- " Downloading portalocker-2.7.0-py2.py3-none-any.whl (15 kB)\n",
- "Requirement already satisfied: pydantic>=1.10.8 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (2.1.1)\n",
- "Collecting urllib3<2.0.0,>=1.26.14 (from qdrant-client)\n",
- " Downloading urllib3-1.26.16-py2.py3-none-any.whl (143 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.1/143.1 kB\u001b[0m \u001b[31m13.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
- "Collecting huggingface-hub<1.0,>=0.14.1 (from transformers)\n",
- " Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m18.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
- "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
- "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
- "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
- "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
- " Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m68.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
- " Downloading safetensors-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m47.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.0)\n",
- "Collecting protobuf<5.0dev,>=4.21.6 (from grpcio-tools>=1.41.0->qdrant-client)\n",
- " Downloading protobuf-4.24.0-cp37-abi3-manylinux2014_x86_64.whl (311 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m311.6/311.6 kB\u001b[0m \u001b[31m24.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hCollecting grpcio>=1.41.0 (from qdrant-client)\n",
- " Downloading grpcio-1.57.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.3/5.3 MB\u001b[0m \u001b[31m40.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from grpcio-tools>=1.41.0->qdrant-client) (67.7.2)\n",
- "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (2023.7.22)\n",
- "Collecting httpcore<0.18.0,>=0.15.0 (from httpx[http2]>=0.14.0->qdrant-client)\n",
- " Downloading httpcore-0.17.3-py3-none-any.whl (74 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m74.5/74.5 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (3.4)\n",
- "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (1.3.0)\n",
- "Collecting h2<5,>=3 (from httpx[http2]>=0.14.0->qdrant-client)\n",
- " Downloading h2-4.1.0-py3-none-any.whl (57 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.5/57.5 kB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
- "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
- "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic>=1.10.8->qdrant-client) (0.5.0)\n",
- "Requirement already satisfied: pydantic-core==2.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic>=1.10.8->qdrant-client) (2.4.0)\n",
- "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.2.0)\n",
- "Collecting hyperframe<7,>=6.0 (from h2<5,>=3->httpx[http2]>=0.14.0->qdrant-client)\n",
- " Downloading hyperframe-6.0.1-py3-none-any.whl (12 kB)\n",
- "Collecting hpack<5,>=4.0 (from h2<5,>=3->httpx[http2]>=0.14.0->qdrant-client)\n",
- " Downloading hpack-4.0.0-py3-none-any.whl (32 kB)\n",
- "Collecting h11<0.15,>=0.13 (from httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client)\n",
- " Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client) (3.7.1)\n",
- "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client) (1.1.2)\n",
- "Installing collected packages: tokenizers, safetensors, urllib3, protobuf, portalocker, hyperframe, hpack, h11, grpcio, httpcore, h2, grpcio-tools, huggingface-hub, httpx, transformers, qdrant-client\n",
- " Attempting uninstall: urllib3\n",
- " Found existing installation: urllib3 2.0.4\n",
- " Uninstalling urllib3-2.0.4:\n",
- " Successfully uninstalled urllib3-2.0.4\n",
- " Attempting uninstall: protobuf\n",
- " Found existing installation: protobuf 3.20.3\n",
- " Uninstalling protobuf-3.20.3:\n",
- " Successfully uninstalled protobuf-3.20.3\n",
- " Attempting uninstall: grpcio\n",
- " Found existing installation: grpcio 1.56.2\n",
- " Uninstalling grpcio-1.56.2:\n",
- " Successfully uninstalled grpcio-1.56.2\n",
- "Successfully installed grpcio-1.57.0 grpcio-tools-1.57.0 h11-0.14.0 h2-4.1.0 hpack-4.0.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 hyperframe-6.0.1 portalocker-2.7.0 protobuf-4.24.0 qdrant-client-1.4.0 safetensors-0.3.2 tokenizers-0.13.3 transformers-4.31.0 urllib3-1.26.16\n",
- "Collecting sentence_transformers\n",
- " Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 kB\u001b[0m \u001b[31m1.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
- "Requirement already satisfied: transformers<5.0.0,>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.31.0)\n",
- "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.66.0)\n",
- "Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (2.0.1+cu118)\n",
- "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.15.2+cu118)\n",
- "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.23.5)\n",
- "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.2.2)\n",
- "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.10.1)\n",
- "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (3.8.1)\n",
- "Collecting sentencepiece (from sentence_transformers)\n",
- " Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m24.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25hRequirement already satisfied: huggingface-hub>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.16.4)\n",
- "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (3.12.2)\n",
- "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2023.6.0)\n",
- "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2.31.0)\n",
- "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (6.0.1)\n",
- "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (4.7.1)\n",
- "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (23.1)\n",
- "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (1.12)\n",
- "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1)\n",
- "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1.2)\n",
- "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (2.0.0)\n",
- "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (3.27.1)\n",
- "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (16.0.6)\n",
- "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (2023.6.3)\n",
- "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.13.3)\n",
- "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.3.2)\n",
- "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (8.1.6)\n",
- "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (1.3.2)\n",
- "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->sentence_transformers) (3.2.0)\n",
- "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision->sentence_transformers) (9.4.0)\n",
- "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.6.0->sentence_transformers) (2.1.3)\n",
- "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.2.0)\n",
- "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.4)\n",
- "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (1.26.16)\n",
- "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2023.7.22)\n",
- "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->sentence_transformers) (1.3.0)\n",
- "Building wheels for collected packages: sentence_transformers\n",
- " Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
- " Created wheel for sentence_transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125924 sha256=21a9d79c7680c3e7cc03f90c1067ea1f15eb12c53d2a259e96ff438c0f25a767\n",
- " Stored in directory: /root/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f\n",
- "Successfully built sentence_transformers\n",
- "Installing collected packages: sentencepiece, sentence_transformers\n",
- "Successfully installed sentence_transformers-2.2.2 sentencepiece-0.1.99\n",
- "Requirement already satisfied: kaggle in /usr/local/lib/python3.10/dist-packages (1.5.16)\n",
- "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.10/dist-packages (from kaggle) (1.16.0)\n",
- "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from kaggle) (2023.7.22)\n",
- "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.8.2)\n",
- "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.31.0)\n",
- "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from kaggle) (4.66.0)\n",
- "Requirement already satisfied: python-slugify in /usr/local/lib/python3.10/dist-packages (from kaggle) (8.0.1)\n",
- "Requirement already satisfied: urllib3 in /usr/local/lib/python3.10/dist-packages (from kaggle) (1.26.16)\n",
- "Requirement already satisfied: bleach in /usr/local/lib/python3.10/dist-packages (from kaggle) (6.0.0)\n",
- "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from bleach->kaggle) (0.5.1)\n",
- "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.10/dist-packages (from python-slugify->kaggle) (1.3)\n",
- "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.2.0)\n",
- "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.4)\n",
- "cp: cannot stat 'kaggle.json': No such file or directory\n",
- "chmod: cannot access '/root/.kaggle/kaggle.json': No such file or directory\n"
- ]
- }
- ]
- },
- {
- "cell_type": "markdown",
- "source": [
- "- Lets first get the data from kaggle\n",
- "- Our data is a news data with thier class\n",
- "- But our case will be using it for similarity search"
- ],
- "metadata": {
- "id": "i-DQdSUPVFq0"
- }
- },
- {
- "cell_type": "code",
- "source": [
- "import json\n",
- "import zipfile\n",
- "import numpy as np\n",
- "import os\n",
- "import pandas as pd"
- ],
- "metadata": {
- "id": "DwtDZljcMhFK"
- },
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "code",
- "source": [
- "collection_name = \"news_reccomender\"\n",
- "kaggle_api_key = os.environ['KAGGLE_API_KEY']\n",
- "kaggle_username = os.environ['KAGGLE_USERNAME']"
- ],
- "metadata": {
- "id": "gOvVvbluCOiL"
- },
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "code",
- "source": [
- "!mkdir ~/.kaggle\n",
- "!touch ~/.kaggle/kaggle.json\n",
- "\n",
- "### get your kaggle token from kaggle.com\n",
- "api_token = {\"username\":kaggle_username,\"key\":kaggle_api_key}\n",
- "\n",
- "\n",
- "with open('/root/.kaggle/kaggle.json', 'w') as file:\n",
- " json.dump(api_token, file)\n",
- "\n",
- "!chmod 600 ~/.kaggle/kaggle.json"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "xsjbri4BMhL-",
- "outputId": "6fe94e29-503e-4175-ce37-dfaec88d562d"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "stream",
- "name": "stdout",
- "text": [
- "mkdir: cannot create directory ‘/root/.kaggle’: File exists\n"
- ]
- }
- ]
- },
- {
- "cell_type": "code",
- "source": [
- "! kaggle datasets download savasy/ttc4900"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "sYazS86kMf8O",
- "outputId": "5950d1f2-8084-45eb-a2f7-a2a3b3d2e435"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "stream",
- "name": "stdout",
- "text": [
- "Downloading ttc4900.zip to /content\n",
- " 60% 2.00M/3.34M [00:00<00:00, 2.96MB/s]\n",
- "100% 3.34M/3.34M [00:00<00:00, 3.91MB/s]\n"
- ]
- }
- ]
- },
- {
- "cell_type": "code",
- "source": [
- "dataset_zip = \"/content/ttc4900.zip\"\n",
- "with zipfile.ZipFile(dataset_zip, \"r\") as zip_ref:\n",
- " zip_ref.extractall(\"/content\")"
- ],
- "metadata": {
- "id": "6pHM2JMTM1Po"
- },
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "code",
- "source": [
- "df = pd.read_csv('/content/7allV03.csv')\n",
- "df"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 6695
- },
- "id": "GsNVabb9NT6p",
- "outputId": "2af5c046-452a-4313-86bb-769e361a3d9d"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "execute_result",
- "data": {
- "text/plain": [
- " category text\n",
- "0 siyaset 3 milyon ile ön seçim vaadi mhp nin 10 olağan...\n",
- "1 siyaset mesut_yılmaz yüce_divan da ceza alabilirdi pr...\n",
- "2 siyaset disko lar kaldırılıyor başbakan_yardımcısı ar...\n",
- "3 siyaset sarıgül anayasa_mahkemesi ne gidiyor mustafa_...\n",
- "4 siyaset erdoğan idamın bir haklılık sebebi var demek ...\n",
- "... ... ...\n",
- "4895 teknoloji iphone lara geri dönüyor ios 6 sürümüyle tele...\n",
- "4896 teknoloji muslukta devrim sadece elimizi yıkadığımız mu...\n",
- "4897 teknoloji halka iyi anlatılmalı bilgi_teknolojileri ile...\n",
- "4898 teknoloji çöpe gidiyorlar apple 775 bin uygulamayla app...\n",
- "4899 teknoloji google bu kez edward_gorey dedi ! google bu k...\n",
- "\n",
- "[4900 rows x 2 columns]"
- ],
- "text/html": [
- "\n",
- "\n",
- " \n",
- "
\n",
- "
\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " category | \n",
- " text | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " | 0 | \n",
- " siyaset | \n",
- " 3 milyon ile ön seçim vaadi mhp nin 10 olağan... | \n",
- "
\n",
- " \n",
- " | 1 | \n",
- " siyaset | \n",
- " mesut_yılmaz yüce_divan da ceza alabilirdi pr... | \n",
- "
\n",
- " \n",
- " | 2 | \n",
- " siyaset | \n",
- " disko lar kaldırılıyor başbakan_yardımcısı ar... | \n",
- "
\n",
- " \n",
- " | 3 | \n",
- " siyaset | \n",
- " sarıgül anayasa_mahkemesi ne gidiyor mustafa_... | \n",
- "
\n",
- " \n",
- " | 4 | \n",
- " siyaset | \n",
- " erdoğan idamın bir haklılık sebebi var demek ... | \n",
- "
\n",
- " \n",
- " | ... | \n",
- " ... | \n",
- " ... | \n",
- "
\n",
- " \n",
- " | 4895 | \n",
- " teknoloji | \n",
- " iphone lara geri dönüyor ios 6 sürümüyle tele... | \n",
- "
\n",
- " \n",
- " | 4896 | \n",
- " teknoloji | \n",
- " muslukta devrim sadece elimizi yıkadığımız mu... | \n",
- "
\n",
- " \n",
- " | 4897 | \n",
- " teknoloji | \n",
- " halka iyi anlatılmalı bilgi_teknolojileri ile... | \n",
- "
\n",
- " \n",
- " | 4898 | \n",
- " teknoloji | \n",
- " çöpe gidiyorlar apple 775 bin uygulamayla app... | \n",
- "
\n",
- " \n",
- " | 4899 | \n",
- " teknoloji | \n",
- " google bu kez edward_gorey dedi ! google bu k... | \n",
- "
\n",
- " \n",
- "
\n",
- "
4900 rows × 2 columns
\n",
- "
\n",
- "
\n",
- "\n",
- "\n",
- "\n",
- "
\n",
- "
\n",
- "
\n",
- "\n",
- "\n",
- "\n",
- " \n",
- "\n",
- " \n",
- " \n",
- "\n",
- " \n",
- "
\n",
- "
\n"
- ]
- },
- "metadata": {},
- "execution_count": 7
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- ""
- ],
- "text/html": [
- "Categorical distributions
\n",
- ""
- ]
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "import numpy as np\n",
- "from google.colab import autoviz\n",
- "\n",
- "def categorical_histogram(df, colname, figscale=1, mpl_palette_name='Dark2'):\n",
- " from matplotlib import pyplot as plt\n",
- " import seaborn as sns\n",
- " df.groupby(colname).size().plot(kind='barh', color=sns.palettes.mpl_palette(mpl_palette_name), figsize=(8*figscale, 4.8*figscale))\n",
- " plt.gca().spines[['top', 'right',]].set_visible(False)\n",
- " return autoviz.MplChart.from_current_mpl_state()\n",
- "\n",
- "chart = categorical_histogram(df, *['category'], **{})\n",
- "chart"
- ],
- "text/html": [
- " \n",
- "

\n",
- " \n",
- "
\n",
- " \n",
- " \n",
- " "
- ]
- },
- "metadata": {}
- }
- ]
- },
- {
- "cell_type": "markdown",
- "source": [
- "- Since Dataset is in Turkish Language, we are going to use an embedding model for Turkish language."
- ],
- "metadata": {
- "id": "tEVbjbQaVbaI"
- }
- },
- {
- "cell_type": "code",
- "source": [
- "from sentence_transformers import SentenceTransformer\n",
- "encoder = SentenceTransformer(\"emrecan/bert-base-turkish-cased-mean-nli-stsb-tr\")"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 401,
- "referenced_widgets": [
- "a4e6b052599848fb914714e8a26bd355",
- "fd73488e1e004b12afb7a26895baa7c2",
- "106d9340b6b04c08aafbd63e1afc6d7a",
- "535c0549ef454091b3364b8562aeb67f",
- "8e9d03aa48794b9e82b2ca39f7f2709b",
- "bae67706a4da4297a9904c860a128503",
- "b3bb63f968aa492a9692e3e65737bb0f",
- "71935f59aa8042a08ee50d749364d95c",
- "6373e66f55734c1180d9ef43f6432017",
- "adf77d4a3079475493e3989a7c2e9507",
- "c4ae4ddbb6af42a0bbfe965f26f73a92",
- "e69ec5362e1047479e42889a3a81e8e5",
- "eb604aa568b140dab6ac59041e8ddb6b",
- "8fc44714b12b4436a9967205792ed370",
- "2257d00a43d1498797b1f588efa729cf",
- "cfd7a90309c74756899ad3adea126d90",
- "cacb78d6aabf451288652d3d8cec3333",
- "f5684f0ddca8446db70c5598904f5f46",
- "5b1550c4d6014a18810817c28d80ddcb",
- "ad9ee76e588a4f348a96a3e03c558b81",
- "d67094f7989c45e9b771824df4a21733",
- "22290d6389ae4fb7a88bb38abad8ff36",
- "c05a8a3d705c4a62a5b8b3f078b9667c",
- "c1bb2625fa0247ed884077379074fab8",
- "2a3f63923b8e4abeb9169f4200bcf49e",
- "82eed1919c16433885bdbbd8e0ad8e17",
- "bd4235c328b24352b700ee72dd9af021",
- "84df39c5c53c45c2add4d635a7d0d4ab",
- "22fd47a9daf44a24b1ad43f8db0da91b",
- "2e633be2eac84537873e504da330a5f1",
- "52c638abd8854587a2415cab86001e2c",
- "83ee6210b512450ca0aabe12f18ed6c5",
- "724fa60d871b4d69bc538af97e082611",
- "2b5bef6a189e4943893a3d9f514f6321",
- "79ffeb6f9f0d43508ac588fc3b2f9cd4",
- "9cebd8e425f64cd4a0810036b8094dfe",
- "7b670d80da99480bbcb08b7a1f3bf251",
- "a8502e47b58b4d2390d47a50d4a86060",
- "0cb27ff1e5494786b8e1cdb02f0218ab",
- "7858b91f82e04a3a9bd8a88103b7ae9f",
- "dbbdfa3163734d3c930a824907cc7328",
- "3aa7a00577b94f66ba5e648082322e95",
- "7214192b26c4423fb32ab2105b587a11",
- "359c37072572464aac7b86977d491465",
- "65f618baca564a9dadb75f9f6167c597",
- "7c5f6a9b874e45d585203ef3bab469be",
- "5907f03cc9b8461ba99615e1dfbece4c",
- "a0ca5f1a66bf4fc99228fb555d30e46a",
- "045678ad904d4555b9f3fce7933400a9",
- "0ae84c87a84843329b2797f907f9395d",
- "8af3ba459d86492bb371703e60a70503",
- "20b2da86e8ef45e2afcbe4eee2369345",
- "606ecd5ef6b7476497ef5cd6764989b1",
- "5c73fd431c974ad19edd89360fdaefa4",
- "afcc3b00c6a44c53b945a5035ba9031b",
- "7f675ddc06384028acfbf09bc9cd2008",
- "bee6f50932534280af3fcb59325c91e8",
- "c728ac0a67bb4dc0bba561395cf25f08",
- "f31cb001e59c436e9d05d790250203de",
- "bff87ca70ed447bcab75a6a694b548ab",
- "e0c477e4411d4a07b6138d2ef6d73c54",
- "4c7e1c5434e049098be44a4d29eaafce",
- "adde04640a9f4397b334f5b3e53f0d1c",
- "07bf23d475a443268496e7a39405f59c",
- "fe09ab20c1e74592bcf7a32bd4e18841",
- "6e55a88b8b82412fb9c049eaade06b5e",
- "c60c234fc01f4429bedac3a5600fa229",
- "a3959187f5b142ffbb89dd5ebb8bb45f",
- "20ab58195b9f4d549bdbdc8d50c1ebe9",
- "c36585247d0447e0895eb263b4078764",
- "708108a0bef348eabc267559ce5c3fb2",
- "af841358cc5f412fadad4d7c96ac5ab8",
- "18af4fab960c4f48b9f1b7dfc237d3c7",
- "bd75b4ce288b43c088af0fcd2b8e665f",
- "bab78d83152c4f8289f6b4e404e19286",
- "9056fb5b65f1457881a6c21c01e02d81",
- "9fbc34472adf446abb28b609655be00c",
- "80c801c1d8ba4dfeb021608880a8acf2",
- "747447ad073d4abb94a8f53d3894d2ea",
- "2ba727e92e9f4bbdbe94524e6c8fae3a",
- "7e849e943cff46f48837bdf55449ad14",
- "d79b1d1602d643d4a8277606682c2723",
- "676839dd09b047829f641f8d71a156aa",
- "f372a4ee45c54e29bfe37a904062ac3f",
- "76b839768f704482907290d2d58fb27c",
- "cf4ec4796dc84a599a061c8f83cc61bc",
- "756e2563b91246e2a52ec85e5bef68ff",
- "ff9368d3eaf342eaaa6da71c87575aed",
- "6ae7c278517344eebed4cad6b295c6e6",
- "d4ef25951e984b68a0d91ddb6ee0650f",
- "f4c3ee8c832941e786a118cf840bea50",
- "bd25ce003554446599d04de7a67323b2",
- "b9437ff508b24db7a4c510b01bf21aa6",
- "4d60f87ecc8b40ed97666eb9f4a36118",
- "7b85f1f910e946b3bd4251d856a85d7a",
- "928840970e044668a02251efcad5003d",
- "40df72327abe45d8b52603e8664dd765",
- "c5aede7d520142cab595538d5236dfbe",
- "058da44225fe4003b693bdbdaa84ccb7",
- "2d723a2a5a164c55b0b11f12ab301cf7",
- "4e070547a96e414a8d5173ebe615e24c",
- "77d0da2f7f58421d909876edc880ed51",
- "01e57b9d3f654280b11236712860699e",
- "93826f1d53f340be8c72f438285094f9",
- "5a85750debe04721938ec5e15d8c4454",
- "4e4784071442409b889cc2fda7e3d1f9",
- "1e8551def872464994c1fccbfb402d29",
- "8c89348d8f434d61ac5659013af9ab19",
- "e925c82b532148cba20a61ade1ba8ccc",
- "0945541f632f4632abc68ffb40cf4df5",
- "832e925102c248859778ffe1abe85917",
- "0b83293be07d4970a6f8bd49eaba0029",
- "577690f03967485da1804dfaa0bc33cb",
- "a3dd8ce855094a3a961f78ae0eeb6af8",
- "37256efc6a8d411eae29cca3a6aae006",
- "a134f01d39d344b59220eea5ad3be257",
- "04f7ee0b947b471a9b07102ae35628f9",
- "dd61c3622714432fae53a5184089d509",
- "080bd41104c44d19bff80af14ad839dc",
- "3ba70252e4004702a7b0fb82c156eb9d",
- "2c166b15635d4c3ba714f21b738f1635",
- "446af08dafd64736ad906e389dbe9a2b",
- "a86bfe16d4f9458984ab79088bf2da9a",
- "83393f28b9f94447b5bfc4c6aaa11f69",
- "68ff61905de54aeca7b832c96d82e991",
- "f16a6a00d734482faedc66be5b3e1631",
- "afe6e0ed8be741e4a9c3d04ae5d4ae99",
- "18b2453be43c467cacee271037d4d26a",
- "d46d6dfa9cb647d19f2fa0e00d22bb3b",
- "e1416c3ce1f8433ebdf46b452f586449",
- "971dc007c2ed4388a82680c675ea8991",
- "51ac58815366477398f45dfdd8d314cf"
- ]
- },
- "id": "6Haz4hIDNb85",
- "outputId": "312a8f45-8bf2-4d3d-c9b9-99755dc70e44"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)98800/.gitattributes: 0%| | 0.00/1.23k [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "a4e6b052599848fb914714e8a26bd355"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)_Pooling/config.json: 0%| | 0.00/190 [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "e69ec5362e1047479e42889a3a81e8e5"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)c24f398800/README.md: 0%| | 0.00/5.89k [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "c05a8a3d705c4a62a5b8b3f078b9667c"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)4f398800/config.json: 0%| | 0.00/693 [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "2b5bef6a189e4943893a3d9f514f6321"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)ce_transformers.json: 0%| | 0.00/123 [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "65f618baca564a9dadb75f9f6167c597"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading pytorch_model.bin: 0%| | 0.00/443M [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "7f675ddc06384028acfbf09bc9cd2008"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)nce_bert_config.json: 0%| | 0.00/52.0 [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "c60c234fc01f4429bedac3a5600fa229"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)cial_tokens_map.json: 0%| | 0.00/112 [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "80c801c1d8ba4dfeb021608880a8acf2"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)98800/tokenizer.json: 0%| | 0.00/498k [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "6ae7c278517344eebed4cad6b295c6e6"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)okenizer_config.json: 0%| | 0.00/431 [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "2d723a2a5a164c55b0b11f12ab301cf7"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)c24f398800/vocab.txt: 0%| | 0.00/251k [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "832e925102c248859778ffe1abe85917"
- }
- },
- "metadata": {}
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)f398800/modules.json: 0%| | 0.00/229 [00:00, ?B/s]"
- ],
- "application/vnd.jupyter.widget-view+json": {
- "version_major": 2,
- "version_minor": 0,
- "model_id": "446af08dafd64736ad906e389dbe9a2b"
- }
- },
- "metadata": {}
- }
- ]
- },
- {
- "cell_type": "code",
- "source": [
- "from qdrant_client import QdrantClient"
- ],
- "metadata": {
- "id": "XcICy0yr2GtN"
- },
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "markdown",
- "source": [
- "- Before connecting, you need to go `[Qdrant](https://qdrant.tech/)` and open an account\n",
- "- Once you open account you can go to cloud and get your credentials for connecting"
- ],
- "metadata": {
- "id": "fvZYHhycVxf-"
- }
- },
- {
- "cell_type": "code",
- "source": [
- "collection_name = \"news_reccomender\"\n",
- "qdrant_api_key = os.environ['QDRANT_API_KEY']\n",
- "qdrant_url = os.environ['QDRANT_URL']"
- ],
- "metadata": {
- "id": "Qc1hp5nPB9aA"
- },
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "code",
- "source": [
- "qdrant_client = QdrantClient(\n",
- " url=qdrant_url,\n",
- " api_key=qdrant_api_key\n",
- " )"
- ],
- "metadata": {
- "id": "mdtX3gvZJH0V"
- },
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "markdown",
- "source": [
- "Creating a collection is a simple task, here we name our collection news_reccomender"
- ],
- "metadata": {
- "id": "wkxBTf-6Vs1-"
- }
- },
- {
- "cell_type": "code",
- "source": [
- "qdrant_client.recreate_collection(\n",
- "\tcollection_name=collection_name,\n",
- "\tvectors_config=models.VectorParams(\n",
- "\t\tsize=encoder.get_sentence_embedding_dimension(), # Vector size is defined by used model\n",
- "\t\tdistance=models.Distance.COSINE,\n",
- "\t\ton_disk=True\n",
- "\t)\n",
- ")"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "NUZbREAWVrv7",
- "outputId": "b40e245f-0643-4025-85c9-1a1b008dd946"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "execute_result",
- "data": {
- "text/plain": [
- "True"
- ]
- },
- "metadata": {},
- "execution_count": 21
- }
- ]
- },
- {
- "cell_type": "markdown",
- "source": [
- "- Once you created you collection, you can use following code to upload your records\n",
- "- You can also verify your collection with followng code"
- ],
- "metadata": {
- "id": "oAVvhMkeWQz-"
- }
- },
- {
- "cell_type": "code",
- "source": [
- "collection_info = qdrant_client.get_collection(collection_name=collection_name)\n",
- "list(collection_info)"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "OQSWhgSRXC7O",
- "outputId": "db96ab64-5234-4a2d-a071-7f955491b919"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "execute_result",
- "data": {
- "text/plain": [
- "[('status', ),\n",
- " ('optimizer_status', ),\n",
- " ('vectors_count', 0),\n",
- " ('indexed_vectors_count', 0),\n",
- " ('points_count', 0),\n",
- " ('segments_count', 2),\n",
- " ('config',\n",
- " CollectionConfig(params=CollectionParams(vectors=VectorParams(size=768, distance=, hnsw_config=None, quantization_config=None, on_disk=True), shard_number=1, replication_factor=1, write_consistency_factor=1, on_disk_payload=True), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=False, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=None, indexing_threshold=20000, flush_interval_sec=5, max_optimization_threads=1), wal_config=WalConfig(wal_capacity_mb=32, wal_segments_ahead=0), quantization_config=None)),\n",
- " ('payload_schema', {})]"
- ]
- },
- "metadata": {},
- "execution_count": 22
- }
- ]
- },
- {
- "cell_type": "code",
- "source": [
- "qdrant_client.upload_records(\n",
- "\tcollection_name=collection_name,\n",
- "\trecords=[\n",
- "\t\tmodels.Record(\n",
- "\t\t\tid=idx,\n",
- "\t\t\tvector=encoder.encode(doc[\"text\"]).tolist(),\n",
- "\t\t\tpayload=doc\n",
- "\t\t) for idx, doc in enumerate(df.to_dict(orient='records'))\n",
- "\t]\n",
- ")"
- ],
- "metadata": {
- "id": "Jd58lRy4aLtS"
- },
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "code",
- "source": [
- "collection_info = qdrant_client.get_collection(collection_name=collection_name)\n",
- "list(collection_info)"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "LvFMm_PwXTPH",
- "outputId": "e642ab6f-b72b-4125-a695-5f1797e4d568"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "execute_result",
- "data": {
- "text/plain": [
- "[('status', ),\n",
- " ('optimizer_status', ),\n",
- " ('vectors_count', 4900),\n",
- " ('indexed_vectors_count', 0),\n",
- " ('points_count', 4900),\n",
- " ('segments_count', 2),\n",
- " ('config',\n",
- " CollectionConfig(params=CollectionParams(vectors=VectorParams(size=768, distance=, hnsw_config=None, quantization_config=None, on_disk=True), shard_number=1, replication_factor=1, write_consistency_factor=1, on_disk_payload=True), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=False, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=None, indexing_threshold=20000, flush_interval_sec=5, max_optimization_threads=1), wal_config=WalConfig(wal_capacity_mb=32, wal_segments_ahead=0), quantization_config=None)),\n",
- " ('payload_schema', {})]"
- ]
- },
- "metadata": {},
- "execution_count": 31
- }
- ]
- },
- {
- "cell_type": "markdown",
- "source": [
- "Now lets recheck our collection"
- ],
- "metadata": {
- "id": "qlGUjzvAXUvR"
- }
- },
- {
- "cell_type": "code",
- "source": [
- "hits = qdrant_client.search(\n",
- "\tcollection_name=collection_name,\n",
- "\tquery_vector=encoder.encode(\"Cumhurbaskani yurtdisina\").tolist(),\n",
- "\tlimit=3\n",
- ")\n",
- "for hit in hits:\n",
- "\tprint(hit.payload, \"score:\", hit.score)"
- ],
- "metadata": {
- "id": "r0FGezO_2ZZW",
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "outputId": "7cfb911c-af27-42b3-e5db-03a74ab2fb38"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "stream",
- "name": "stdout",
- "text": [
- "{'category': 'ekonomi ', 'text': ' erdoğan dünyayı dört kez turladı başbakan recep_tayyip_erdoğan 2012 \\x92 de 22 ülkeye 24 ziyaret gerçekleştirdi başbakan_erdoğan \\x92 ın 2012 \\x92 de ziyaret ettiği ülkeler şöyle güney_kore çin azerbaycan 2 pakistan 2 meksika brezilya endonezya brunei bosna_hersek ukrayna slovenya almanya ispanya italya ingiltere bulgaristan katar mısır suudi_arabistan rusya kazakistan ve iran yurt dışı temasları için toplam 165 bin 120 kilometre yol kateden erdoğan \\x92 ın en uzun yolculuğu g 20 zirvesi \\x92 ne katılmak için 12 bin kilometre yol katederek ulaştığı meksika \\x92 nın los cabos kentine oldu erdoğan \\x92 ın yurt dışı ziyaretlerinde katettiği toplam 165 bin 120 kilometre dünya çevresinde yapılacak 4 tura denk geliyor'} score: 0.43037367\n",
- "{'category': 'siyaset ', 'text': ' emniyet_müdürü nü hemen görevden alın mhp_grup_başkanvekili_oktay_vural diyarbakır emniyet_müdürü recep güven in hemen görevden alınması gerektiğini iddia etti tbmm de basın toplantısı düzenleyen vural genel_kurul da yarın irak ın kuzeyine sınırötesi operasyon yapma konusunda hükümete yetki veren başbakanlık tezkeresi nin görüşüleceğini hatırlattı mhp olarak tezkereye bir daha olumlu oy vereceklerini dile getiren vural 7 kez getirilen tezkereye rağmen türkiye nin pkk nın güvenli bölgelerini bertaraf edemediğini söyledi vural tezkerenin pkk terör örgütünün faaliyetlerine son vermek amacıyla mı tbmm ye getirildiğini yoksa milletin gazını almak terörle mücadele ediyor gözükmek için mi getirildiğini milletimizin takdirine bırakıyorum kullanmıyorsun bunları yazıyoruz gün gelecek devran dönecek bu yetkileri kullanmayanlar kullanmakta gaflet gösterenler hukuk önünde hesap verecek bu milletsize bir yetki vermişse o yetkiyi kullanacaksın diye konuştu diyarbakır emniyet_müdürü recep güven in sözlerini eleştiren vural bu konu hafife alınacak bir konu değildir dedi bugün rehabilitasyon ve bakım merkezini ziyaret ettiğini orada elleri ve kolları olmayan mehmetçiklerin bulunduğuna dikkati çeken vural şöyle devam etti bunlar kimin için ayaklarını kollarını verdi bebelere kurşun sıkanlara arkadan vuranlar için ağlayana söylüyorum ağlamayanlar insan değilmiş değil mi gazetelerde bir takım köşe yazarları manşetler atılıyor utanmalısınız be insanlığı öldürenler için ağlıyorsun önce o ölen insanlar için ağlamayı bileceksin bu ne hadsizliktir empati yapalım şu zihniyete bakın sen kim oluyorsun benim insanlığımı sen sorgulayamazsın dil uzatamazsın bu yurdun ekmeğini yiyorsanız suyunu içiyorsanız havasını kokluyorsanız köşenizi yazıyorsanız program yapıyorsanız bilin ki o şehitlerin sayesindedir terör örgütünü makul empati kurulması gereken insanlar olarak göstererek terörle mücadeleyi dışlayan anlayışı kabul edemeyiz kan akıyor kan gazeteci ahmet taner kışlalı yı öldürenlere de mi empati yapılacak teröristle empati yapacakmışız yok öyle bir şey türkiye hukuk devleti ise cezası bellidir şahin görünümlü güvercin vural başbakan_recep_tayyip_erdoğan ın grup toplantısında başbakan yardımcısı bülent_arınç ın bakanlar_kurulu toplantısı sonrasında ak_parti grup başkanvekili ahmet_aydın ın da yaptığı açıklamaları gazetecilere dinleterek başbakan_yardımcısı takdirle karşılıyorum diyor grup başkanvekili insani ve vicdani diyor başbakan ağlamayız diyor hangisine inanacaksınız diye konuştu erdoğan ın cumhurbaşkanı olmak istediğini ileri süren vural başbakan akp nin yapacaklarını demeyecek başbakan ın diyemediklerini akp yapacak bu ikircikli yaklaşım iliklerine kadar akp ye yapışmıştır dedi vural ak_parti nin terörle mücadele politikasını eleştirerek şahin görünümlü güvercin politikası uyguluyorlar ifadesini kullandı mhp li vural başbakan çok kritik bir yerde görev verilen bir kimsenin terör örgütüne empati beslenmesini gerektiğini söyleyen zihniyet karşısında siyasal duruşunuz varsa bu siyasal duruşunuza samimiyetle inanmamızı da arzu ediyorsanız diyarbakır emniyet_müdürü nü hemen görevden alın o zaman grup başkanvekiline ve başbakan yardımcına da bu konuda ne yapılması gerekiyorsa yap da inanalım yoksa laftan başka bir anlam taşımıyor dedi oslo daki görüşmelerde terör örgütü temsilcilerinden adem uzun adında birinin bulunduğunu bu kişinin daha sonra tank savar pazarlığı yaparken yakalandığını ileri süren vural bir elleri silahta bir elleri masada pkk ya tanksavar almak isteyen insanlarla masa kurmuşlar pazarlık ediyorlar belki de yeni oslo larla tanksavar ve uçaksavar almak için de bir görüşme planlayabilirler diye konuştu tasarının amacı siyasi vural gazetecilerin sorularını da cevaplandırdı büyükşehir_belediyesi kanunu tasarısı na ilişkin soru üzerine vural bu konuda grubu acil toplantıya çağırdıklarını söyledi bir oldu bitti ve dayatmayla karşı karşıya olduklarını ifade eden vural ak_parti nin demokrasinin köklerini kurutmak istediğini öne sürdü vural köyleri belde belediyeleri kaldırıyorlar bunun amacı siyasidir açık ve net bunlar insanların seçme hakkına saygı göstermiyorlar diye konuştu vural tasarıya göre mhp li 231 belediyenin kapatılacağını vurguladı vural seçilme yaşının 18 e düşürülmesine ilişkin önerinin de düşünülmeden ulu orta yapıldığını iddia ederek 18 yaşın seçme hakkı veriyorsun askerlik hizmetini yapma mecburiyeti var erlere seçme hakkı veriyorsun nasıl propaganda yapacaklar bize somut olarak gelmiş bir teklif yok dedi aa'} score: 0.36531544\n",
- "{'category': 'dunya ', 'text': ' cemil_çiçek bakü de türkiye_büyük_millet_meclisi tbmm başkanı cemil_çiçek azerbaycan ın başkenti bakü ye geldi çiçek karadeniz ekonomik işbirliği parlamenter asamblesi keipa genel_kurul toplantısı na katılacak özel uçak dap ile bakü ye gelen çiçek ve beraberindeki heyeti azerbaycan meclis başkan_yardımcısı ziyafet askerov ve türkiye nin büyükelçiliği yetkilileri karşıladı çiçek bakü de çeşitli iş çevrelerinin toplantıların da katılacak azerbaycan cumhurbaşkanı ilham aliye in çiçek i kabul etmesi bekleniyor cihan'} score: 0.36443597\n"
- ]
- }
- ]
- }
- ]
-}
\ No newline at end of file
From de196a11c9787a03aab06cbbb319742786f1a4b5 Mon Sep 17 00:00:00 2001
From: Umar Igan <38042220+UmarIgan@users.noreply.github.com>
Date: Tue, 15 Aug 2023 15:08:49 +0300
Subject: [PATCH 4/4] Add files via upload
---
NewsSemanticSearch/NewsSemanticSearch.ipynb | 5450 +++++++++++++++++++
1 file changed, 5450 insertions(+)
create mode 100644 NewsSemanticSearch/NewsSemanticSearch.ipynb
diff --git a/NewsSemanticSearch/NewsSemanticSearch.ipynb b/NewsSemanticSearch/NewsSemanticSearch.ipynb
new file mode 100644
index 0000000..90eeee4
--- /dev/null
+++ b/NewsSemanticSearch/NewsSemanticSearch.ipynb
@@ -0,0 +1,5450 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": []
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "widgets": {
+ "application/vnd.jupyter.widget-state+json": {
+ "a4e6b052599848fb914714e8a26bd355": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_fd73488e1e004b12afb7a26895baa7c2",
+ "IPY_MODEL_106d9340b6b04c08aafbd63e1afc6d7a",
+ "IPY_MODEL_535c0549ef454091b3364b8562aeb67f"
+ ],
+ "layout": "IPY_MODEL_8e9d03aa48794b9e82b2ca39f7f2709b"
+ }
+ },
+ "fd73488e1e004b12afb7a26895baa7c2": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_bae67706a4da4297a9904c860a128503",
+ "placeholder": "",
+ "style": "IPY_MODEL_b3bb63f968aa492a9692e3e65737bb0f",
+ "value": "Downloading (…)98800/.gitattributes: 100%"
+ }
+ },
+ "106d9340b6b04c08aafbd63e1afc6d7a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_71935f59aa8042a08ee50d749364d95c",
+ "max": 1229,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_6373e66f55734c1180d9ef43f6432017",
+ "value": 1229
+ }
+ },
+ "535c0549ef454091b3364b8562aeb67f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_adf77d4a3079475493e3989a7c2e9507",
+ "placeholder": "",
+ "style": "IPY_MODEL_c4ae4ddbb6af42a0bbfe965f26f73a92",
+ "value": " 1.23k/1.23k [00:00<00:00, 34.9kB/s]"
+ }
+ },
+ "8e9d03aa48794b9e82b2ca39f7f2709b": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "bae67706a4da4297a9904c860a128503": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "b3bb63f968aa492a9692e3e65737bb0f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "71935f59aa8042a08ee50d749364d95c": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "6373e66f55734c1180d9ef43f6432017": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "adf77d4a3079475493e3989a7c2e9507": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "c4ae4ddbb6af42a0bbfe965f26f73a92": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "e69ec5362e1047479e42889a3a81e8e5": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_eb604aa568b140dab6ac59041e8ddb6b",
+ "IPY_MODEL_8fc44714b12b4436a9967205792ed370",
+ "IPY_MODEL_2257d00a43d1498797b1f588efa729cf"
+ ],
+ "layout": "IPY_MODEL_cfd7a90309c74756899ad3adea126d90"
+ }
+ },
+ "eb604aa568b140dab6ac59041e8ddb6b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_cacb78d6aabf451288652d3d8cec3333",
+ "placeholder": "",
+ "style": "IPY_MODEL_f5684f0ddca8446db70c5598904f5f46",
+ "value": "Downloading (…)_Pooling/config.json: 100%"
+ }
+ },
+ "8fc44714b12b4436a9967205792ed370": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_5b1550c4d6014a18810817c28d80ddcb",
+ "max": 190,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_ad9ee76e588a4f348a96a3e03c558b81",
+ "value": 190
+ }
+ },
+ "2257d00a43d1498797b1f588efa729cf": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_d67094f7989c45e9b771824df4a21733",
+ "placeholder": "",
+ "style": "IPY_MODEL_22290d6389ae4fb7a88bb38abad8ff36",
+ "value": " 190/190 [00:00<00:00, 11.8kB/s]"
+ }
+ },
+ "cfd7a90309c74756899ad3adea126d90": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "cacb78d6aabf451288652d3d8cec3333": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "f5684f0ddca8446db70c5598904f5f46": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "5b1550c4d6014a18810817c28d80ddcb": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "ad9ee76e588a4f348a96a3e03c558b81": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "d67094f7989c45e9b771824df4a21733": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "22290d6389ae4fb7a88bb38abad8ff36": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "c05a8a3d705c4a62a5b8b3f078b9667c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_c1bb2625fa0247ed884077379074fab8",
+ "IPY_MODEL_2a3f63923b8e4abeb9169f4200bcf49e",
+ "IPY_MODEL_82eed1919c16433885bdbbd8e0ad8e17"
+ ],
+ "layout": "IPY_MODEL_bd4235c328b24352b700ee72dd9af021"
+ }
+ },
+ "c1bb2625fa0247ed884077379074fab8": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_84df39c5c53c45c2add4d635a7d0d4ab",
+ "placeholder": "",
+ "style": "IPY_MODEL_22fd47a9daf44a24b1ad43f8db0da91b",
+ "value": "Downloading (…)c24f398800/README.md: 100%"
+ }
+ },
+ "2a3f63923b8e4abeb9169f4200bcf49e": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_2e633be2eac84537873e504da330a5f1",
+ "max": 5889,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_52c638abd8854587a2415cab86001e2c",
+ "value": 5889
+ }
+ },
+ "82eed1919c16433885bdbbd8e0ad8e17": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_83ee6210b512450ca0aabe12f18ed6c5",
+ "placeholder": "",
+ "style": "IPY_MODEL_724fa60d871b4d69bc538af97e082611",
+ "value": " 5.89k/5.89k [00:00<00:00, 365kB/s]"
+ }
+ },
+ "bd4235c328b24352b700ee72dd9af021": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "84df39c5c53c45c2add4d635a7d0d4ab": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "22fd47a9daf44a24b1ad43f8db0da91b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "2e633be2eac84537873e504da330a5f1": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "52c638abd8854587a2415cab86001e2c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "83ee6210b512450ca0aabe12f18ed6c5": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "724fa60d871b4d69bc538af97e082611": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "2b5bef6a189e4943893a3d9f514f6321": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_79ffeb6f9f0d43508ac588fc3b2f9cd4",
+ "IPY_MODEL_9cebd8e425f64cd4a0810036b8094dfe",
+ "IPY_MODEL_7b670d80da99480bbcb08b7a1f3bf251"
+ ],
+ "layout": "IPY_MODEL_a8502e47b58b4d2390d47a50d4a86060"
+ }
+ },
+ "79ffeb6f9f0d43508ac588fc3b2f9cd4": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_0cb27ff1e5494786b8e1cdb02f0218ab",
+ "placeholder": "",
+ "style": "IPY_MODEL_7858b91f82e04a3a9bd8a88103b7ae9f",
+ "value": "Downloading (…)4f398800/config.json: 100%"
+ }
+ },
+ "9cebd8e425f64cd4a0810036b8094dfe": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_dbbdfa3163734d3c930a824907cc7328",
+ "max": 693,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_3aa7a00577b94f66ba5e648082322e95",
+ "value": 693
+ }
+ },
+ "7b670d80da99480bbcb08b7a1f3bf251": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_7214192b26c4423fb32ab2105b587a11",
+ "placeholder": "",
+ "style": "IPY_MODEL_359c37072572464aac7b86977d491465",
+ "value": " 693/693 [00:00<00:00, 31.6kB/s]"
+ }
+ },
+ "a8502e47b58b4d2390d47a50d4a86060": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "0cb27ff1e5494786b8e1cdb02f0218ab": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "7858b91f82e04a3a9bd8a88103b7ae9f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "dbbdfa3163734d3c930a824907cc7328": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "3aa7a00577b94f66ba5e648082322e95": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "7214192b26c4423fb32ab2105b587a11": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "359c37072572464aac7b86977d491465": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "65f618baca564a9dadb75f9f6167c597": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_7c5f6a9b874e45d585203ef3bab469be",
+ "IPY_MODEL_5907f03cc9b8461ba99615e1dfbece4c",
+ "IPY_MODEL_a0ca5f1a66bf4fc99228fb555d30e46a"
+ ],
+ "layout": "IPY_MODEL_045678ad904d4555b9f3fce7933400a9"
+ }
+ },
+ "7c5f6a9b874e45d585203ef3bab469be": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_0ae84c87a84843329b2797f907f9395d",
+ "placeholder": "",
+ "style": "IPY_MODEL_8af3ba459d86492bb371703e60a70503",
+ "value": "Downloading (…)ce_transformers.json: 100%"
+ }
+ },
+ "5907f03cc9b8461ba99615e1dfbece4c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_20b2da86e8ef45e2afcbe4eee2369345",
+ "max": 123,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_606ecd5ef6b7476497ef5cd6764989b1",
+ "value": 123
+ }
+ },
+ "a0ca5f1a66bf4fc99228fb555d30e46a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_5c73fd431c974ad19edd89360fdaefa4",
+ "placeholder": "",
+ "style": "IPY_MODEL_afcc3b00c6a44c53b945a5035ba9031b",
+ "value": " 123/123 [00:00<00:00, 1.47kB/s]"
+ }
+ },
+ "045678ad904d4555b9f3fce7933400a9": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "0ae84c87a84843329b2797f907f9395d": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "8af3ba459d86492bb371703e60a70503": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "20b2da86e8ef45e2afcbe4eee2369345": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "606ecd5ef6b7476497ef5cd6764989b1": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "5c73fd431c974ad19edd89360fdaefa4": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "afcc3b00c6a44c53b945a5035ba9031b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "7f675ddc06384028acfbf09bc9cd2008": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_bee6f50932534280af3fcb59325c91e8",
+ "IPY_MODEL_c728ac0a67bb4dc0bba561395cf25f08",
+ "IPY_MODEL_f31cb001e59c436e9d05d790250203de"
+ ],
+ "layout": "IPY_MODEL_bff87ca70ed447bcab75a6a694b548ab"
+ }
+ },
+ "bee6f50932534280af3fcb59325c91e8": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_e0c477e4411d4a07b6138d2ef6d73c54",
+ "placeholder": "",
+ "style": "IPY_MODEL_4c7e1c5434e049098be44a4d29eaafce",
+ "value": "Downloading pytorch_model.bin: 100%"
+ }
+ },
+ "c728ac0a67bb4dc0bba561395cf25f08": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_adde04640a9f4397b334f5b3e53f0d1c",
+ "max": 442547953,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_07bf23d475a443268496e7a39405f59c",
+ "value": 442547953
+ }
+ },
+ "f31cb001e59c436e9d05d790250203de": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_fe09ab20c1e74592bcf7a32bd4e18841",
+ "placeholder": "",
+ "style": "IPY_MODEL_6e55a88b8b82412fb9c049eaade06b5e",
+ "value": " 443M/443M [00:20<00:00, 22.7MB/s]"
+ }
+ },
+ "bff87ca70ed447bcab75a6a694b548ab": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "e0c477e4411d4a07b6138d2ef6d73c54": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "4c7e1c5434e049098be44a4d29eaafce": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "adde04640a9f4397b334f5b3e53f0d1c": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "07bf23d475a443268496e7a39405f59c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "fe09ab20c1e74592bcf7a32bd4e18841": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "6e55a88b8b82412fb9c049eaade06b5e": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "c60c234fc01f4429bedac3a5600fa229": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_a3959187f5b142ffbb89dd5ebb8bb45f",
+ "IPY_MODEL_20ab58195b9f4d549bdbdc8d50c1ebe9",
+ "IPY_MODEL_c36585247d0447e0895eb263b4078764"
+ ],
+ "layout": "IPY_MODEL_708108a0bef348eabc267559ce5c3fb2"
+ }
+ },
+ "a3959187f5b142ffbb89dd5ebb8bb45f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_af841358cc5f412fadad4d7c96ac5ab8",
+ "placeholder": "",
+ "style": "IPY_MODEL_18af4fab960c4f48b9f1b7dfc237d3c7",
+ "value": "Downloading (…)nce_bert_config.json: 100%"
+ }
+ },
+ "20ab58195b9f4d549bdbdc8d50c1ebe9": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_bd75b4ce288b43c088af0fcd2b8e665f",
+ "max": 52,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_bab78d83152c4f8289f6b4e404e19286",
+ "value": 52
+ }
+ },
+ "c36585247d0447e0895eb263b4078764": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_9056fb5b65f1457881a6c21c01e02d81",
+ "placeholder": "",
+ "style": "IPY_MODEL_9fbc34472adf446abb28b609655be00c",
+ "value": " 52.0/52.0 [00:00<00:00, 515B/s]"
+ }
+ },
+ "708108a0bef348eabc267559ce5c3fb2": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "af841358cc5f412fadad4d7c96ac5ab8": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "18af4fab960c4f48b9f1b7dfc237d3c7": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "bd75b4ce288b43c088af0fcd2b8e665f": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "bab78d83152c4f8289f6b4e404e19286": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "9056fb5b65f1457881a6c21c01e02d81": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "9fbc34472adf446abb28b609655be00c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "80c801c1d8ba4dfeb021608880a8acf2": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_747447ad073d4abb94a8f53d3894d2ea",
+ "IPY_MODEL_2ba727e92e9f4bbdbe94524e6c8fae3a",
+ "IPY_MODEL_7e849e943cff46f48837bdf55449ad14"
+ ],
+ "layout": "IPY_MODEL_d79b1d1602d643d4a8277606682c2723"
+ }
+ },
+ "747447ad073d4abb94a8f53d3894d2ea": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_676839dd09b047829f641f8d71a156aa",
+ "placeholder": "",
+ "style": "IPY_MODEL_f372a4ee45c54e29bfe37a904062ac3f",
+ "value": "Downloading (…)cial_tokens_map.json: 100%"
+ }
+ },
+ "2ba727e92e9f4bbdbe94524e6c8fae3a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_76b839768f704482907290d2d58fb27c",
+ "max": 112,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_cf4ec4796dc84a599a061c8f83cc61bc",
+ "value": 112
+ }
+ },
+ "7e849e943cff46f48837bdf55449ad14": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_756e2563b91246e2a52ec85e5bef68ff",
+ "placeholder": "",
+ "style": "IPY_MODEL_ff9368d3eaf342eaaa6da71c87575aed",
+ "value": " 112/112 [00:00<00:00, 1.49kB/s]"
+ }
+ },
+ "d79b1d1602d643d4a8277606682c2723": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "676839dd09b047829f641f8d71a156aa": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "f372a4ee45c54e29bfe37a904062ac3f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "76b839768f704482907290d2d58fb27c": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "cf4ec4796dc84a599a061c8f83cc61bc": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "756e2563b91246e2a52ec85e5bef68ff": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "ff9368d3eaf342eaaa6da71c87575aed": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "6ae7c278517344eebed4cad6b295c6e6": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_d4ef25951e984b68a0d91ddb6ee0650f",
+ "IPY_MODEL_f4c3ee8c832941e786a118cf840bea50",
+ "IPY_MODEL_bd25ce003554446599d04de7a67323b2"
+ ],
+ "layout": "IPY_MODEL_b9437ff508b24db7a4c510b01bf21aa6"
+ }
+ },
+ "d4ef25951e984b68a0d91ddb6ee0650f": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_4d60f87ecc8b40ed97666eb9f4a36118",
+ "placeholder": "",
+ "style": "IPY_MODEL_7b85f1f910e946b3bd4251d856a85d7a",
+ "value": "Downloading (…)98800/tokenizer.json: 100%"
+ }
+ },
+ "f4c3ee8c832941e786a118cf840bea50": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_928840970e044668a02251efcad5003d",
+ "max": 497553,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_40df72327abe45d8b52603e8664dd765",
+ "value": 497553
+ }
+ },
+ "bd25ce003554446599d04de7a67323b2": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_c5aede7d520142cab595538d5236dfbe",
+ "placeholder": "",
+ "style": "IPY_MODEL_058da44225fe4003b693bdbdaa84ccb7",
+ "value": " 498k/498k [00:00<00:00, 953kB/s]"
+ }
+ },
+ "b9437ff508b24db7a4c510b01bf21aa6": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "4d60f87ecc8b40ed97666eb9f4a36118": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "7b85f1f910e946b3bd4251d856a85d7a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "928840970e044668a02251efcad5003d": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "40df72327abe45d8b52603e8664dd765": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "c5aede7d520142cab595538d5236dfbe": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "058da44225fe4003b693bdbdaa84ccb7": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "2d723a2a5a164c55b0b11f12ab301cf7": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_4e070547a96e414a8d5173ebe615e24c",
+ "IPY_MODEL_77d0da2f7f58421d909876edc880ed51",
+ "IPY_MODEL_01e57b9d3f654280b11236712860699e"
+ ],
+ "layout": "IPY_MODEL_93826f1d53f340be8c72f438285094f9"
+ }
+ },
+ "4e070547a96e414a8d5173ebe615e24c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_5a85750debe04721938ec5e15d8c4454",
+ "placeholder": "",
+ "style": "IPY_MODEL_4e4784071442409b889cc2fda7e3d1f9",
+ "value": "Downloading (…)okenizer_config.json: 100%"
+ }
+ },
+ "77d0da2f7f58421d909876edc880ed51": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_1e8551def872464994c1fccbfb402d29",
+ "max": 431,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_8c89348d8f434d61ac5659013af9ab19",
+ "value": 431
+ }
+ },
+ "01e57b9d3f654280b11236712860699e": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_e925c82b532148cba20a61ade1ba8ccc",
+ "placeholder": "",
+ "style": "IPY_MODEL_0945541f632f4632abc68ffb40cf4df5",
+ "value": " 431/431 [00:00<00:00, 7.57kB/s]"
+ }
+ },
+ "93826f1d53f340be8c72f438285094f9": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "5a85750debe04721938ec5e15d8c4454": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "4e4784071442409b889cc2fda7e3d1f9": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "1e8551def872464994c1fccbfb402d29": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "8c89348d8f434d61ac5659013af9ab19": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "e925c82b532148cba20a61ade1ba8ccc": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "0945541f632f4632abc68ffb40cf4df5": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "832e925102c248859778ffe1abe85917": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_0b83293be07d4970a6f8bd49eaba0029",
+ "IPY_MODEL_577690f03967485da1804dfaa0bc33cb",
+ "IPY_MODEL_a3dd8ce855094a3a961f78ae0eeb6af8"
+ ],
+ "layout": "IPY_MODEL_37256efc6a8d411eae29cca3a6aae006"
+ }
+ },
+ "0b83293be07d4970a6f8bd49eaba0029": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_a134f01d39d344b59220eea5ad3be257",
+ "placeholder": "",
+ "style": "IPY_MODEL_04f7ee0b947b471a9b07102ae35628f9",
+ "value": "Downloading (…)c24f398800/vocab.txt: 100%"
+ }
+ },
+ "577690f03967485da1804dfaa0bc33cb": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_dd61c3622714432fae53a5184089d509",
+ "max": 251003,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_080bd41104c44d19bff80af14ad839dc",
+ "value": 251003
+ }
+ },
+ "a3dd8ce855094a3a961f78ae0eeb6af8": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_3ba70252e4004702a7b0fb82c156eb9d",
+ "placeholder": "",
+ "style": "IPY_MODEL_2c166b15635d4c3ba714f21b738f1635",
+ "value": " 251k/251k [00:00<00:00, 5.07MB/s]"
+ }
+ },
+ "37256efc6a8d411eae29cca3a6aae006": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "a134f01d39d344b59220eea5ad3be257": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "04f7ee0b947b471a9b07102ae35628f9": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "dd61c3622714432fae53a5184089d509": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "080bd41104c44d19bff80af14ad839dc": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "3ba70252e4004702a7b0fb82c156eb9d": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "2c166b15635d4c3ba714f21b738f1635": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "446af08dafd64736ad906e389dbe9a2b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_a86bfe16d4f9458984ab79088bf2da9a",
+ "IPY_MODEL_83393f28b9f94447b5bfc4c6aaa11f69",
+ "IPY_MODEL_68ff61905de54aeca7b832c96d82e991"
+ ],
+ "layout": "IPY_MODEL_f16a6a00d734482faedc66be5b3e1631"
+ }
+ },
+ "a86bfe16d4f9458984ab79088bf2da9a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_afe6e0ed8be741e4a9c3d04ae5d4ae99",
+ "placeholder": "",
+ "style": "IPY_MODEL_18b2453be43c467cacee271037d4d26a",
+ "value": "Downloading (…)f398800/modules.json: 100%"
+ }
+ },
+ "83393f28b9f94447b5bfc4c6aaa11f69": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_d46d6dfa9cb647d19f2fa0e00d22bb3b",
+ "max": 229,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_e1416c3ce1f8433ebdf46b452f586449",
+ "value": 229
+ }
+ },
+ "68ff61905de54aeca7b832c96d82e991": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_971dc007c2ed4388a82680c675ea8991",
+ "placeholder": "",
+ "style": "IPY_MODEL_51ac58815366477398f45dfdd8d314cf",
+ "value": " 229/229 [00:00<00:00, 3.89kB/s]"
+ }
+ },
+ "f16a6a00d734482faedc66be5b3e1631": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "afe6e0ed8be741e4a9c3d04ae5d4ae99": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "18b2453be43c467cacee271037d4d26a": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ },
+ "d46d6dfa9cb647d19f2fa0e00d22bb3b": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "e1416c3ce1f8433ebdf46b452f586449": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "ProgressStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "ProgressStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "bar_color": null,
+ "description_width": ""
+ }
+ },
+ "971dc007c2ed4388a82680c675ea8991": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "LayoutView",
+ "align_content": null,
+ "align_items": null,
+ "align_self": null,
+ "border": null,
+ "bottom": null,
+ "display": null,
+ "flex": null,
+ "flex_flow": null,
+ "grid_area": null,
+ "grid_auto_columns": null,
+ "grid_auto_flow": null,
+ "grid_auto_rows": null,
+ "grid_column": null,
+ "grid_gap": null,
+ "grid_row": null,
+ "grid_template_areas": null,
+ "grid_template_columns": null,
+ "grid_template_rows": null,
+ "height": null,
+ "justify_content": null,
+ "justify_items": null,
+ "left": null,
+ "margin": null,
+ "max_height": null,
+ "max_width": null,
+ "min_height": null,
+ "min_width": null,
+ "object_fit": null,
+ "object_position": null,
+ "order": null,
+ "overflow": null,
+ "overflow_x": null,
+ "overflow_y": null,
+ "padding": null,
+ "right": null,
+ "top": null,
+ "visibility": null,
+ "width": null
+ }
+ },
+ "51ac58815366477398f45dfdd8d314cf": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ }
+ }
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "9370yOiXFYLj"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Semantic Search On Turkish News Data"
+ ],
+ "metadata": {
+ "id": "kamPr-mqFo7K"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "In this notebook, We are going to create simple semantic search for Turkish news dataset.\n",
+ "We are going to download dataset from kaggle and encode it using bert model's turkish version.\n"
+ ],
+ "metadata": {
+ "id": "Q4Qz9SbJFYnm"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install qdrant-client transformers\n",
+ "!pip install sentence_transformers\n",
+ "! pip install kaggle\n",
+ "! mkdir ~/.kaggle\n",
+ "! cp kaggle.json ~/.kaggle/\n",
+ "! chmod 600 ~/.kaggle/kaggle.json"
+ ],
+ "metadata": {
+ "id": "A9UGusuv2GqY",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "d32fb84e-c3ef-4bcf-8ec7-1a55ce585180"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting qdrant-client\n",
+ " Downloading qdrant_client-1.4.0-py3-none-any.whl (132 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.5/132.5 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting transformers\n",
+ " Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.4/7.4 MB\u001b[0m \u001b[31m63.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: grpcio>=1.41.0 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (1.56.2)\n",
+ "Collecting grpcio-tools>=1.41.0 (from qdrant-client)\n",
+ " Downloading grpcio_tools-1.57.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.6/2.6 MB\u001b[0m \u001b[31m69.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting httpx[http2]>=0.14.0 (from qdrant-client)\n",
+ " Downloading httpx-0.24.1-py3-none-any.whl (75 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.4/75.4 kB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: numpy>=1.21 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (1.23.5)\n",
+ "Collecting portalocker<3.0.0,>=2.7.0 (from qdrant-client)\n",
+ " Downloading portalocker-2.7.0-py2.py3-none-any.whl (15 kB)\n",
+ "Requirement already satisfied: pydantic>=1.10.8 in /usr/local/lib/python3.10/dist-packages (from qdrant-client) (2.1.1)\n",
+ "Collecting urllib3<2.0.0,>=1.26.14 (from qdrant-client)\n",
+ " Downloading urllib3-1.26.16-py2.py3-none-any.whl (143 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.1/143.1 kB\u001b[0m \u001b[31m13.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
+ "Collecting huggingface-hub<1.0,>=0.14.1 (from transformers)\n",
+ " Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m18.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
+ "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
+ " Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m68.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
+ " Downloading safetensors-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m47.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.0)\n",
+ "Collecting protobuf<5.0dev,>=4.21.6 (from grpcio-tools>=1.41.0->qdrant-client)\n",
+ " Downloading protobuf-4.24.0-cp37-abi3-manylinux2014_x86_64.whl (311 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m311.6/311.6 kB\u001b[0m \u001b[31m24.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting grpcio>=1.41.0 (from qdrant-client)\n",
+ " Downloading grpcio-1.57.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.3/5.3 MB\u001b[0m \u001b[31m40.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from grpcio-tools>=1.41.0->qdrant-client) (67.7.2)\n",
+ "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (2023.7.22)\n",
+ "Collecting httpcore<0.18.0,>=0.15.0 (from httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading httpcore-0.17.3-py3-none-any.whl (74 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m74.5/74.5 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (3.4)\n",
+ "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx[http2]>=0.14.0->qdrant-client) (1.3.0)\n",
+ "Collecting h2<5,>=3 (from httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading h2-4.1.0-py3-none-any.whl (57 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.5/57.5 kB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
+ "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic>=1.10.8->qdrant-client) (0.5.0)\n",
+ "Requirement already satisfied: pydantic-core==2.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic>=1.10.8->qdrant-client) (2.4.0)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.2.0)\n",
+ "Collecting hyperframe<7,>=6.0 (from h2<5,>=3->httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading hyperframe-6.0.1-py3-none-any.whl (12 kB)\n",
+ "Collecting hpack<5,>=4.0 (from h2<5,>=3->httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading hpack-4.0.0-py3-none-any.whl (32 kB)\n",
+ "Collecting h11<0.15,>=0.13 (from httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client)\n",
+ " Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client) (3.7.1)\n",
+ "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx[http2]>=0.14.0->qdrant-client) (1.1.2)\n",
+ "Installing collected packages: tokenizers, safetensors, urllib3, protobuf, portalocker, hyperframe, hpack, h11, grpcio, httpcore, h2, grpcio-tools, huggingface-hub, httpx, transformers, qdrant-client\n",
+ " Attempting uninstall: urllib3\n",
+ " Found existing installation: urllib3 2.0.4\n",
+ " Uninstalling urllib3-2.0.4:\n",
+ " Successfully uninstalled urllib3-2.0.4\n",
+ " Attempting uninstall: protobuf\n",
+ " Found existing installation: protobuf 3.20.3\n",
+ " Uninstalling protobuf-3.20.3:\n",
+ " Successfully uninstalled protobuf-3.20.3\n",
+ " Attempting uninstall: grpcio\n",
+ " Found existing installation: grpcio 1.56.2\n",
+ " Uninstalling grpcio-1.56.2:\n",
+ " Successfully uninstalled grpcio-1.56.2\n",
+ "Successfully installed grpcio-1.57.0 grpcio-tools-1.57.0 h11-0.14.0 h2-4.1.0 hpack-4.0.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 hyperframe-6.0.1 portalocker-2.7.0 protobuf-4.24.0 qdrant-client-1.4.0 safetensors-0.3.2 tokenizers-0.13.3 transformers-4.31.0 urllib3-1.26.16\n",
+ "Collecting sentence_transformers\n",
+ " Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 kB\u001b[0m \u001b[31m1.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: transformers<5.0.0,>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.31.0)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.66.0)\n",
+ "Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (2.0.1+cu118)\n",
+ "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.15.2+cu118)\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.23.5)\n",
+ "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.2.2)\n",
+ "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.10.1)\n",
+ "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (3.8.1)\n",
+ "Collecting sentencepiece (from sentence_transformers)\n",
+ " Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m24.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: huggingface-hub>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.16.4)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (3.12.2)\n",
+ "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2023.6.0)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2.31.0)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (6.0.1)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (4.7.1)\n",
+ "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (23.1)\n",
+ "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (1.12)\n",
+ "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1)\n",
+ "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1.2)\n",
+ "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (2.0.0)\n",
+ "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (3.27.1)\n",
+ "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (16.0.6)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (2023.6.3)\n",
+ "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.13.3)\n",
+ "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.3.2)\n",
+ "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (8.1.6)\n",
+ "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (1.3.2)\n",
+ "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->sentence_transformers) (3.2.0)\n",
+ "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision->sentence_transformers) (9.4.0)\n",
+ "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.6.0->sentence_transformers) (2.1.3)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.2.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.4)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (1.26.16)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2023.7.22)\n",
+ "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->sentence_transformers) (1.3.0)\n",
+ "Building wheels for collected packages: sentence_transformers\n",
+ " Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for sentence_transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125924 sha256=21a9d79c7680c3e7cc03f90c1067ea1f15eb12c53d2a259e96ff438c0f25a767\n",
+ " Stored in directory: /root/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f\n",
+ "Successfully built sentence_transformers\n",
+ "Installing collected packages: sentencepiece, sentence_transformers\n",
+ "Successfully installed sentence_transformers-2.2.2 sentencepiece-0.1.99\n",
+ "Requirement already satisfied: kaggle in /usr/local/lib/python3.10/dist-packages (1.5.16)\n",
+ "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.10/dist-packages (from kaggle) (1.16.0)\n",
+ "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from kaggle) (2023.7.22)\n",
+ "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.8.2)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.31.0)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from kaggle) (4.66.0)\n",
+ "Requirement already satisfied: python-slugify in /usr/local/lib/python3.10/dist-packages (from kaggle) (8.0.1)\n",
+ "Requirement already satisfied: urllib3 in /usr/local/lib/python3.10/dist-packages (from kaggle) (1.26.16)\n",
+ "Requirement already satisfied: bleach in /usr/local/lib/python3.10/dist-packages (from kaggle) (6.0.0)\n",
+ "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from bleach->kaggle) (0.5.1)\n",
+ "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.10/dist-packages (from python-slugify->kaggle) (1.3)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.2.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.4)\n",
+ "cp: cannot stat 'kaggle.json': No such file or directory\n",
+ "chmod: cannot access '/root/.kaggle/kaggle.json': No such file or directory\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Lets first get the data from kaggle\n",
+ "- Our data is a news data with thier class\n",
+ "- But our case will be using it for similarity search\n",
+ "- You can obtain your kaggle credentials from your kaggle profile"
+ ],
+ "metadata": {
+ "id": "i-DQdSUPVFq0"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import json\n",
+ "import zipfile\n",
+ "import numpy as np\n",
+ "import os\n",
+ "import pandas as pd"
+ ],
+ "metadata": {
+ "id": "DwtDZljcMhFK"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "kaggle_api_key = os.environ['KAGGLE_API_KEY']\n",
+ "kaggle_username = os.environ['KAGGLE_USERNAME']"
+ ],
+ "metadata": {
+ "id": "gOvVvbluCOiL"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!mkdir ~/.kaggle\n",
+ "!touch ~/.kaggle/kaggle.json\n",
+ "\n",
+ "### get your kaggle token from kaggle.com\n",
+ "api_token = {\"username\":kaggle_username,\"key\":kaggle_api_key}\n",
+ "\n",
+ "\n",
+ "with open('/root/.kaggle/kaggle.json', 'w') as file:\n",
+ " json.dump(api_token, file)\n",
+ "\n",
+ "!chmod 600 ~/.kaggle/kaggle.json"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "xsjbri4BMhL-",
+ "outputId": "6fe94e29-503e-4175-ce37-dfaec88d562d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "mkdir: cannot create directory ‘/root/.kaggle’: File exists\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "! kaggle datasets download savasy/ttc4900"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "sYazS86kMf8O",
+ "outputId": "5950d1f2-8084-45eb-a2f7-a2a3b3d2e435"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Downloading ttc4900.zip to /content\n",
+ " 60% 2.00M/3.34M [00:00<00:00, 2.96MB/s]\n",
+ "100% 3.34M/3.34M [00:00<00:00, 3.91MB/s]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "dataset_zip = \"/content/ttc4900.zip\"\n",
+ "with zipfile.ZipFile(dataset_zip, \"r\") as zip_ref:\n",
+ " zip_ref.extractall(\"/content\")"
+ ],
+ "metadata": {
+ "id": "6pHM2JMTM1Po"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "df = pd.read_csv('/content/7allV03.csv')\n",
+ "df"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 6695
+ },
+ "id": "GsNVabb9NT6p",
+ "outputId": "2af5c046-452a-4313-86bb-769e361a3d9d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ " category text\n",
+ "0 siyaset 3 milyon ile ön seçim vaadi mhp nin 10 olağan...\n",
+ "1 siyaset mesut_yılmaz yüce_divan da ceza alabilirdi pr...\n",
+ "2 siyaset disko lar kaldırılıyor başbakan_yardımcısı ar...\n",
+ "3 siyaset sarıgül anayasa_mahkemesi ne gidiyor mustafa_...\n",
+ "4 siyaset erdoğan idamın bir haklılık sebebi var demek ...\n",
+ "... ... ...\n",
+ "4895 teknoloji iphone lara geri dönüyor ios 6 sürümüyle tele...\n",
+ "4896 teknoloji muslukta devrim sadece elimizi yıkadığımız mu...\n",
+ "4897 teknoloji halka iyi anlatılmalı bilgi_teknolojileri ile...\n",
+ "4898 teknoloji çöpe gidiyorlar apple 775 bin uygulamayla app...\n",
+ "4899 teknoloji google bu kez edward_gorey dedi ! google bu k...\n",
+ "\n",
+ "[4900 rows x 2 columns]"
+ ],
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " category | \n",
+ " text | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " siyaset | \n",
+ " 3 milyon ile ön seçim vaadi mhp nin 10 olağan... | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " siyaset | \n",
+ " mesut_yılmaz yüce_divan da ceza alabilirdi pr... | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " siyaset | \n",
+ " disko lar kaldırılıyor başbakan_yardımcısı ar... | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " siyaset | \n",
+ " sarıgül anayasa_mahkemesi ne gidiyor mustafa_... | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " siyaset | \n",
+ " erdoğan idamın bir haklılık sebebi var demek ... | \n",
+ "
\n",
+ " \n",
+ " | ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " | 4895 | \n",
+ " teknoloji | \n",
+ " iphone lara geri dönüyor ios 6 sürümüyle tele... | \n",
+ "
\n",
+ " \n",
+ " | 4896 | \n",
+ " teknoloji | \n",
+ " muslukta devrim sadece elimizi yıkadığımız mu... | \n",
+ "
\n",
+ " \n",
+ " | 4897 | \n",
+ " teknoloji | \n",
+ " halka iyi anlatılmalı bilgi_teknolojileri ile... | \n",
+ "
\n",
+ " \n",
+ " | 4898 | \n",
+ " teknoloji | \n",
+ " çöpe gidiyorlar apple 775 bin uygulamayla app... | \n",
+ "
\n",
+ " \n",
+ " | 4899 | \n",
+ " teknoloji | \n",
+ " google bu kez edward_gorey dedi ! google bu k... | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
4900 rows × 2 columns
\n",
+ "
\n",
+ "
\n",
+ "\n",
+ "\n",
+ "\n",
+ "
\n",
+ "
\n",
+ "
\n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "
\n",
+ "
\n"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 7
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "text/html": [
+ "Categorical distributions
\n",
+ ""
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "import numpy as np\n",
+ "from google.colab import autoviz\n",
+ "\n",
+ "def categorical_histogram(df, colname, figscale=1, mpl_palette_name='Dark2'):\n",
+ " from matplotlib import pyplot as plt\n",
+ " import seaborn as sns\n",
+ " df.groupby(colname).size().plot(kind='barh', color=sns.palettes.mpl_palette(mpl_palette_name), figsize=(8*figscale, 4.8*figscale))\n",
+ " plt.gca().spines[['top', 'right',]].set_visible(False)\n",
+ " return autoviz.MplChart.from_current_mpl_state()\n",
+ "\n",
+ "chart = categorical_histogram(df, *['category'], **{})\n",
+ "chart"
+ ],
+ "text/html": [
+ " \n",
+ "

\n",
+ " \n",
+ "
\n",
+ " \n",
+ " \n",
+ " "
+ ]
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Since Dataset is in Turkish Language, we are going to use an embedding model for Turkish language."
+ ],
+ "metadata": {
+ "id": "tEVbjbQaVbaI"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from sentence_transformers import SentenceTransformer\n",
+ "encoder = SentenceTransformer(\"emrecan/bert-base-turkish-cased-mean-nli-stsb-tr\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 401,
+ "referenced_widgets": [
+ "a4e6b052599848fb914714e8a26bd355",
+ "fd73488e1e004b12afb7a26895baa7c2",
+ "106d9340b6b04c08aafbd63e1afc6d7a",
+ "535c0549ef454091b3364b8562aeb67f",
+ "8e9d03aa48794b9e82b2ca39f7f2709b",
+ "bae67706a4da4297a9904c860a128503",
+ "b3bb63f968aa492a9692e3e65737bb0f",
+ "71935f59aa8042a08ee50d749364d95c",
+ "6373e66f55734c1180d9ef43f6432017",
+ "adf77d4a3079475493e3989a7c2e9507",
+ "c4ae4ddbb6af42a0bbfe965f26f73a92",
+ "e69ec5362e1047479e42889a3a81e8e5",
+ "eb604aa568b140dab6ac59041e8ddb6b",
+ "8fc44714b12b4436a9967205792ed370",
+ "2257d00a43d1498797b1f588efa729cf",
+ "cfd7a90309c74756899ad3adea126d90",
+ "cacb78d6aabf451288652d3d8cec3333",
+ "f5684f0ddca8446db70c5598904f5f46",
+ "5b1550c4d6014a18810817c28d80ddcb",
+ "ad9ee76e588a4f348a96a3e03c558b81",
+ "d67094f7989c45e9b771824df4a21733",
+ "22290d6389ae4fb7a88bb38abad8ff36",
+ "c05a8a3d705c4a62a5b8b3f078b9667c",
+ "c1bb2625fa0247ed884077379074fab8",
+ "2a3f63923b8e4abeb9169f4200bcf49e",
+ "82eed1919c16433885bdbbd8e0ad8e17",
+ "bd4235c328b24352b700ee72dd9af021",
+ "84df39c5c53c45c2add4d635a7d0d4ab",
+ "22fd47a9daf44a24b1ad43f8db0da91b",
+ "2e633be2eac84537873e504da330a5f1",
+ "52c638abd8854587a2415cab86001e2c",
+ "83ee6210b512450ca0aabe12f18ed6c5",
+ "724fa60d871b4d69bc538af97e082611",
+ "2b5bef6a189e4943893a3d9f514f6321",
+ "79ffeb6f9f0d43508ac588fc3b2f9cd4",
+ "9cebd8e425f64cd4a0810036b8094dfe",
+ "7b670d80da99480bbcb08b7a1f3bf251",
+ "a8502e47b58b4d2390d47a50d4a86060",
+ "0cb27ff1e5494786b8e1cdb02f0218ab",
+ "7858b91f82e04a3a9bd8a88103b7ae9f",
+ "dbbdfa3163734d3c930a824907cc7328",
+ "3aa7a00577b94f66ba5e648082322e95",
+ "7214192b26c4423fb32ab2105b587a11",
+ "359c37072572464aac7b86977d491465",
+ "65f618baca564a9dadb75f9f6167c597",
+ "7c5f6a9b874e45d585203ef3bab469be",
+ "5907f03cc9b8461ba99615e1dfbece4c",
+ "a0ca5f1a66bf4fc99228fb555d30e46a",
+ "045678ad904d4555b9f3fce7933400a9",
+ "0ae84c87a84843329b2797f907f9395d",
+ "8af3ba459d86492bb371703e60a70503",
+ "20b2da86e8ef45e2afcbe4eee2369345",
+ "606ecd5ef6b7476497ef5cd6764989b1",
+ "5c73fd431c974ad19edd89360fdaefa4",
+ "afcc3b00c6a44c53b945a5035ba9031b",
+ "7f675ddc06384028acfbf09bc9cd2008",
+ "bee6f50932534280af3fcb59325c91e8",
+ "c728ac0a67bb4dc0bba561395cf25f08",
+ "f31cb001e59c436e9d05d790250203de",
+ "bff87ca70ed447bcab75a6a694b548ab",
+ "e0c477e4411d4a07b6138d2ef6d73c54",
+ "4c7e1c5434e049098be44a4d29eaafce",
+ "adde04640a9f4397b334f5b3e53f0d1c",
+ "07bf23d475a443268496e7a39405f59c",
+ "fe09ab20c1e74592bcf7a32bd4e18841",
+ "6e55a88b8b82412fb9c049eaade06b5e",
+ "c60c234fc01f4429bedac3a5600fa229",
+ "a3959187f5b142ffbb89dd5ebb8bb45f",
+ "20ab58195b9f4d549bdbdc8d50c1ebe9",
+ "c36585247d0447e0895eb263b4078764",
+ "708108a0bef348eabc267559ce5c3fb2",
+ "af841358cc5f412fadad4d7c96ac5ab8",
+ "18af4fab960c4f48b9f1b7dfc237d3c7",
+ "bd75b4ce288b43c088af0fcd2b8e665f",
+ "bab78d83152c4f8289f6b4e404e19286",
+ "9056fb5b65f1457881a6c21c01e02d81",
+ "9fbc34472adf446abb28b609655be00c",
+ "80c801c1d8ba4dfeb021608880a8acf2",
+ "747447ad073d4abb94a8f53d3894d2ea",
+ "2ba727e92e9f4bbdbe94524e6c8fae3a",
+ "7e849e943cff46f48837bdf55449ad14",
+ "d79b1d1602d643d4a8277606682c2723",
+ "676839dd09b047829f641f8d71a156aa",
+ "f372a4ee45c54e29bfe37a904062ac3f",
+ "76b839768f704482907290d2d58fb27c",
+ "cf4ec4796dc84a599a061c8f83cc61bc",
+ "756e2563b91246e2a52ec85e5bef68ff",
+ "ff9368d3eaf342eaaa6da71c87575aed",
+ "6ae7c278517344eebed4cad6b295c6e6",
+ "d4ef25951e984b68a0d91ddb6ee0650f",
+ "f4c3ee8c832941e786a118cf840bea50",
+ "bd25ce003554446599d04de7a67323b2",
+ "b9437ff508b24db7a4c510b01bf21aa6",
+ "4d60f87ecc8b40ed97666eb9f4a36118",
+ "7b85f1f910e946b3bd4251d856a85d7a",
+ "928840970e044668a02251efcad5003d",
+ "40df72327abe45d8b52603e8664dd765",
+ "c5aede7d520142cab595538d5236dfbe",
+ "058da44225fe4003b693bdbdaa84ccb7",
+ "2d723a2a5a164c55b0b11f12ab301cf7",
+ "4e070547a96e414a8d5173ebe615e24c",
+ "77d0da2f7f58421d909876edc880ed51",
+ "01e57b9d3f654280b11236712860699e",
+ "93826f1d53f340be8c72f438285094f9",
+ "5a85750debe04721938ec5e15d8c4454",
+ "4e4784071442409b889cc2fda7e3d1f9",
+ "1e8551def872464994c1fccbfb402d29",
+ "8c89348d8f434d61ac5659013af9ab19",
+ "e925c82b532148cba20a61ade1ba8ccc",
+ "0945541f632f4632abc68ffb40cf4df5",
+ "832e925102c248859778ffe1abe85917",
+ "0b83293be07d4970a6f8bd49eaba0029",
+ "577690f03967485da1804dfaa0bc33cb",
+ "a3dd8ce855094a3a961f78ae0eeb6af8",
+ "37256efc6a8d411eae29cca3a6aae006",
+ "a134f01d39d344b59220eea5ad3be257",
+ "04f7ee0b947b471a9b07102ae35628f9",
+ "dd61c3622714432fae53a5184089d509",
+ "080bd41104c44d19bff80af14ad839dc",
+ "3ba70252e4004702a7b0fb82c156eb9d",
+ "2c166b15635d4c3ba714f21b738f1635",
+ "446af08dafd64736ad906e389dbe9a2b",
+ "a86bfe16d4f9458984ab79088bf2da9a",
+ "83393f28b9f94447b5bfc4c6aaa11f69",
+ "68ff61905de54aeca7b832c96d82e991",
+ "f16a6a00d734482faedc66be5b3e1631",
+ "afe6e0ed8be741e4a9c3d04ae5d4ae99",
+ "18b2453be43c467cacee271037d4d26a",
+ "d46d6dfa9cb647d19f2fa0e00d22bb3b",
+ "e1416c3ce1f8433ebdf46b452f586449",
+ "971dc007c2ed4388a82680c675ea8991",
+ "51ac58815366477398f45dfdd8d314cf"
+ ]
+ },
+ "id": "6Haz4hIDNb85",
+ "outputId": "312a8f45-8bf2-4d3d-c9b9-99755dc70e44"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)98800/.gitattributes: 0%| | 0.00/1.23k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "a4e6b052599848fb914714e8a26bd355"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)_Pooling/config.json: 0%| | 0.00/190 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "e69ec5362e1047479e42889a3a81e8e5"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)c24f398800/README.md: 0%| | 0.00/5.89k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "c05a8a3d705c4a62a5b8b3f078b9667c"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)4f398800/config.json: 0%| | 0.00/693 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "2b5bef6a189e4943893a3d9f514f6321"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)ce_transformers.json: 0%| | 0.00/123 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "65f618baca564a9dadb75f9f6167c597"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading pytorch_model.bin: 0%| | 0.00/443M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "7f675ddc06384028acfbf09bc9cd2008"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)nce_bert_config.json: 0%| | 0.00/52.0 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "c60c234fc01f4429bedac3a5600fa229"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)cial_tokens_map.json: 0%| | 0.00/112 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "80c801c1d8ba4dfeb021608880a8acf2"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)98800/tokenizer.json: 0%| | 0.00/498k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "6ae7c278517344eebed4cad6b295c6e6"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)okenizer_config.json: 0%| | 0.00/431 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "2d723a2a5a164c55b0b11f12ab301cf7"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)c24f398800/vocab.txt: 0%| | 0.00/251k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "832e925102c248859778ffe1abe85917"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading (…)f398800/modules.json: 0%| | 0.00/229 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "446af08dafd64736ad906e389dbe9a2b"
+ }
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from qdrant_client import QdrantClient"
+ ],
+ "metadata": {
+ "id": "XcICy0yr2GtN"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Before connecting, make sure you have account [Qdrant](https://qdrant.tech/)\n",
+ "- In your account you can go to cloud and get your credentials for connecting"
+ ],
+ "metadata": {
+ "id": "fvZYHhycVxf-"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "collection_name = \"news_reccomender\"\n",
+ "qdrant_api_key = os.environ['QDRANT_API_KEY']\n",
+ "qdrant_url = os.environ['QDRANT_URL']"
+ ],
+ "metadata": {
+ "id": "Qc1hp5nPB9aA"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "qdrant_client = QdrantClient(\n",
+ " url=qdrant_url,\n",
+ " api_key=qdrant_api_key\n",
+ " )"
+ ],
+ "metadata": {
+ "id": "mdtX3gvZJH0V"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Creating a collection is a simple task, here we name our collection news_reccomender"
+ ],
+ "metadata": {
+ "id": "wkxBTf-6Vs1-"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "qdrant_client.recreate_collection(\n",
+ "\tcollection_name=collection_name,\n",
+ "\tvectors_config=models.VectorParams(\n",
+ "\t\tsize=encoder.get_sentence_embedding_dimension(), # Vector size is defined by used model\n",
+ "\t\tdistance=models.Distance.COSINE,\n",
+ "\t\ton_disk=True\n",
+ "\t)\n",
+ ")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NUZbREAWVrv7",
+ "outputId": "b40e245f-0643-4025-85c9-1a1b008dd946"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 21
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "- Once you created you collection, you can use following code to upload your records\n",
+ "- You can also verify your collection with followng code"
+ ],
+ "metadata": {
+ "id": "oAVvhMkeWQz-"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "collection_info = qdrant_client.get_collection(collection_name=collection_name)\n",
+ "list(collection_info)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "OQSWhgSRXC7O",
+ "outputId": "db96ab64-5234-4a2d-a071-7f955491b919"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "[('status', ),\n",
+ " ('optimizer_status', ),\n",
+ " ('vectors_count', 0),\n",
+ " ('indexed_vectors_count', 0),\n",
+ " ('points_count', 0),\n",
+ " ('segments_count', 2),\n",
+ " ('config',\n",
+ " CollectionConfig(params=CollectionParams(vectors=VectorParams(size=768, distance=, hnsw_config=None, quantization_config=None, on_disk=True), shard_number=1, replication_factor=1, write_consistency_factor=1, on_disk_payload=True), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=False, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=None, indexing_threshold=20000, flush_interval_sec=5, max_optimization_threads=1), wal_config=WalConfig(wal_capacity_mb=32, wal_segments_ahead=0), quantization_config=None)),\n",
+ " ('payload_schema', {})]"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 22
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "qdrant_client.upload_records(\n",
+ "\tcollection_name=collection_name,\n",
+ "\trecords=[\n",
+ "\t\tmodels.Record(\n",
+ "\t\t\tid=idx,\n",
+ "\t\t\tvector=encoder.encode(doc[\"text\"]).tolist(),\n",
+ "\t\t\tpayload=doc\n",
+ "\t\t) for idx, doc in enumerate(df.to_dict(orient='records'))\n",
+ "\t]\n",
+ ")"
+ ],
+ "metadata": {
+ "id": "Jd58lRy4aLtS"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "collection_info = qdrant_client.get_collection(collection_name=collection_name)\n",
+ "list(collection_info)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "LvFMm_PwXTPH",
+ "outputId": "e642ab6f-b72b-4125-a695-5f1797e4d568"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "[('status', ),\n",
+ " ('optimizer_status', ),\n",
+ " ('vectors_count', 4900),\n",
+ " ('indexed_vectors_count', 0),\n",
+ " ('points_count', 4900),\n",
+ " ('segments_count', 2),\n",
+ " ('config',\n",
+ " CollectionConfig(params=CollectionParams(vectors=VectorParams(size=768, distance=, hnsw_config=None, quantization_config=None, on_disk=True), shard_number=1, replication_factor=1, write_consistency_factor=1, on_disk_payload=True), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=False, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=None, indexing_threshold=20000, flush_interval_sec=5, max_optimization_threads=1), wal_config=WalConfig(wal_capacity_mb=32, wal_segments_ahead=0), quantization_config=None)),\n",
+ " ('payload_schema', {})]"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 31
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Now lets recheck our collection"
+ ],
+ "metadata": {
+ "id": "qlGUjzvAXUvR"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "hits = qdrant_client.search(\n",
+ "\tcollection_name=collection_name,\n",
+ "\tquery_vector=encoder.encode(\"Cumhurbaskani yurtdisina\").tolist(),\n",
+ "\tlimit=3\n",
+ ")\n",
+ "for hit in hits:\n",
+ "\tprint(hit.payload, \"score:\", hit.score)"
+ ],
+ "metadata": {
+ "id": "r0FGezO_2ZZW",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "7cfb911c-af27-42b3-e5db-03a74ab2fb38"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "{'category': 'ekonomi ', 'text': ' erdoğan dünyayı dört kez turladı başbakan recep_tayyip_erdoğan 2012 \\x92 de 22 ülkeye 24 ziyaret gerçekleştirdi başbakan_erdoğan \\x92 ın 2012 \\x92 de ziyaret ettiği ülkeler şöyle güney_kore çin azerbaycan 2 pakistan 2 meksika brezilya endonezya brunei bosna_hersek ukrayna slovenya almanya ispanya italya ingiltere bulgaristan katar mısır suudi_arabistan rusya kazakistan ve iran yurt dışı temasları için toplam 165 bin 120 kilometre yol kateden erdoğan \\x92 ın en uzun yolculuğu g 20 zirvesi \\x92 ne katılmak için 12 bin kilometre yol katederek ulaştığı meksika \\x92 nın los cabos kentine oldu erdoğan \\x92 ın yurt dışı ziyaretlerinde katettiği toplam 165 bin 120 kilometre dünya çevresinde yapılacak 4 tura denk geliyor'} score: 0.43037367\n",
+ "{'category': 'siyaset ', 'text': ' emniyet_müdürü nü hemen görevden alın mhp_grup_başkanvekili_oktay_vural diyarbakır emniyet_müdürü recep güven in hemen görevden alınması gerektiğini iddia etti tbmm de basın toplantısı düzenleyen vural genel_kurul da yarın irak ın kuzeyine sınırötesi operasyon yapma konusunda hükümete yetki veren başbakanlık tezkeresi nin görüşüleceğini hatırlattı mhp olarak tezkereye bir daha olumlu oy vereceklerini dile getiren vural 7 kez getirilen tezkereye rağmen türkiye nin pkk nın güvenli bölgelerini bertaraf edemediğini söyledi vural tezkerenin pkk terör örgütünün faaliyetlerine son vermek amacıyla mı tbmm ye getirildiğini yoksa milletin gazını almak terörle mücadele ediyor gözükmek için mi getirildiğini milletimizin takdirine bırakıyorum kullanmıyorsun bunları yazıyoruz gün gelecek devran dönecek bu yetkileri kullanmayanlar kullanmakta gaflet gösterenler hukuk önünde hesap verecek bu milletsize bir yetki vermişse o yetkiyi kullanacaksın diye konuştu diyarbakır emniyet_müdürü recep güven in sözlerini eleştiren vural bu konu hafife alınacak bir konu değildir dedi bugün rehabilitasyon ve bakım merkezini ziyaret ettiğini orada elleri ve kolları olmayan mehmetçiklerin bulunduğuna dikkati çeken vural şöyle devam etti bunlar kimin için ayaklarını kollarını verdi bebelere kurşun sıkanlara arkadan vuranlar için ağlayana söylüyorum ağlamayanlar insan değilmiş değil mi gazetelerde bir takım köşe yazarları manşetler atılıyor utanmalısınız be insanlığı öldürenler için ağlıyorsun önce o ölen insanlar için ağlamayı bileceksin bu ne hadsizliktir empati yapalım şu zihniyete bakın sen kim oluyorsun benim insanlığımı sen sorgulayamazsın dil uzatamazsın bu yurdun ekmeğini yiyorsanız suyunu içiyorsanız havasını kokluyorsanız köşenizi yazıyorsanız program yapıyorsanız bilin ki o şehitlerin sayesindedir terör örgütünü makul empati kurulması gereken insanlar olarak göstererek terörle mücadeleyi dışlayan anlayışı kabul edemeyiz kan akıyor kan gazeteci ahmet taner kışlalı yı öldürenlere de mi empati yapılacak teröristle empati yapacakmışız yok öyle bir şey türkiye hukuk devleti ise cezası bellidir şahin görünümlü güvercin vural başbakan_recep_tayyip_erdoğan ın grup toplantısında başbakan yardımcısı bülent_arınç ın bakanlar_kurulu toplantısı sonrasında ak_parti grup başkanvekili ahmet_aydın ın da yaptığı açıklamaları gazetecilere dinleterek başbakan_yardımcısı takdirle karşılıyorum diyor grup başkanvekili insani ve vicdani diyor başbakan ağlamayız diyor hangisine inanacaksınız diye konuştu erdoğan ın cumhurbaşkanı olmak istediğini ileri süren vural başbakan akp nin yapacaklarını demeyecek başbakan ın diyemediklerini akp yapacak bu ikircikli yaklaşım iliklerine kadar akp ye yapışmıştır dedi vural ak_parti nin terörle mücadele politikasını eleştirerek şahin görünümlü güvercin politikası uyguluyorlar ifadesini kullandı mhp li vural başbakan çok kritik bir yerde görev verilen bir kimsenin terör örgütüne empati beslenmesini gerektiğini söyleyen zihniyet karşısında siyasal duruşunuz varsa bu siyasal duruşunuza samimiyetle inanmamızı da arzu ediyorsanız diyarbakır emniyet_müdürü nü hemen görevden alın o zaman grup başkanvekiline ve başbakan yardımcına da bu konuda ne yapılması gerekiyorsa yap da inanalım yoksa laftan başka bir anlam taşımıyor dedi oslo daki görüşmelerde terör örgütü temsilcilerinden adem uzun adında birinin bulunduğunu bu kişinin daha sonra tank savar pazarlığı yaparken yakalandığını ileri süren vural bir elleri silahta bir elleri masada pkk ya tanksavar almak isteyen insanlarla masa kurmuşlar pazarlık ediyorlar belki de yeni oslo larla tanksavar ve uçaksavar almak için de bir görüşme planlayabilirler diye konuştu tasarının amacı siyasi vural gazetecilerin sorularını da cevaplandırdı büyükşehir_belediyesi kanunu tasarısı na ilişkin soru üzerine vural bu konuda grubu acil toplantıya çağırdıklarını söyledi bir oldu bitti ve dayatmayla karşı karşıya olduklarını ifade eden vural ak_parti nin demokrasinin köklerini kurutmak istediğini öne sürdü vural köyleri belde belediyeleri kaldırıyorlar bunun amacı siyasidir açık ve net bunlar insanların seçme hakkına saygı göstermiyorlar diye konuştu vural tasarıya göre mhp li 231 belediyenin kapatılacağını vurguladı vural seçilme yaşının 18 e düşürülmesine ilişkin önerinin de düşünülmeden ulu orta yapıldığını iddia ederek 18 yaşın seçme hakkı veriyorsun askerlik hizmetini yapma mecburiyeti var erlere seçme hakkı veriyorsun nasıl propaganda yapacaklar bize somut olarak gelmiş bir teklif yok dedi aa'} score: 0.36531544\n",
+ "{'category': 'dunya ', 'text': ' cemil_çiçek bakü de türkiye_büyük_millet_meclisi tbmm başkanı cemil_çiçek azerbaycan ın başkenti bakü ye geldi çiçek karadeniz ekonomik işbirliği parlamenter asamblesi keipa genel_kurul toplantısı na katılacak özel uçak dap ile bakü ye gelen çiçek ve beraberindeki heyeti azerbaycan meclis başkan_yardımcısı ziyafet askerov ve türkiye nin büyükelçiliği yetkilileri karşıladı çiçek bakü de çeşitli iş çevrelerinin toplantıların da katılacak azerbaycan cumhurbaşkanı ilham aliye in çiçek i kabul etmesi bekleniyor cihan'} score: 0.36443597\n"
+ ]
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file