Misc changes from changelog. #2062

Vaibhavs10 · 2025-11-18T15:32:34Z

ty codex!

HuggingFaceDocBuilderDev · 2025-11-18T15:34:22Z

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

docs/hub/xet/index.md

Vaibhavs10 · 2025-11-18T15:47:19Z

docs/hub/security-sso.md


 You can easily integrate Hugging Face Hub with a variety of Identity Providers, such as Okta, OneLogin or Azure Active Directory (Azure AD). Hugging Face Hub can work with any OIDC-compliant or SAML Identity Provider.

+As of November 2025, the official Hugging Face App is listed in the Okta Integration Network, providing a pre-validated SAML configuration that organizations can add directly from the network. OIDC, SCIM, and JIT provisioning are planned for the same app soon.


is there a link on Okta side we should point to?

Vaibhavs10 · 2025-11-18T15:56:00Z

docs/hub/paper-pages.md

 If you don't have any papers on Hugging Face yet, you can index your first one as explained [here](#can-i-have-a-paper-page-even-if-i-have-no-modeldatasetspace). Once available, you can claim authorship.


+## Recent additions


Suggested change

## Recent additions

## Tag your organisation on papers

maybe?

I like this one better than "recent additions". But let's use "organization" for consistency with the following paragraph (and https://huggingface.co/docs/hub/organizations)

Vaibhavs10 · 2025-11-18T15:57:26Z

not sure if it's good idea to add some screenshots for these too!

pcuenca

Nice rundown of recent features! I found a few of the items slightly out of place or with unclear segues, made a few suggestions.

pcuenca · 2025-11-24T12:48:42Z

docs/hub/advanced-compute-options.md


 Enterprise Hub organizations gain access to advanced compute options to accelerate their machine learning journey.

+In addition to ZeroGPU, `hf jobs run…` executes arbitrary CPU or GPU workloads on Hugging Face. The Jobs service is billed by the second, supports simple scripts and large fleets of hardware, and is controlled via the `hf jobs run` CLI (see [the Jobs guide](https://huggingface.co/docs/huggingface_hub/en/guides/jobs)).


I would add this as a mini-section after the ZeroGPU one, because we haven't said anything about ZeroGPU at this point in the doc.

pcuenca · 2025-11-24T13:14:44Z

docs/hub/gguf.md

 <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/gguf-tensortable-dark.png"/>
 </div>

+For GGUF files up to 10 GB the **GGUF Editor** label powered by Xet appears; clicking it opens an in-browser metadata editor so you can tweak properties such as the chat template without re-uploading the entire file.


Suggested change

For GGUF files up to 10 GB the **GGUF Editor** label powered by Xet appears; clicking it opens an in-browser metadata editor so you can tweak properties such as the chat template without re-uploading the entire file.

GGUF files up to 10 GB can be edited using an in-browser **GGUF Editor** for metadata entries, powered by Xet. This allows you to tweak properties such as the chat template without re-uploading the entire file.

I find the first sentence a bit confusing.

pcuenca · 2025-11-24T13:16:33Z

docs/hub/models-the-hub.md


 The Model Hub is where the members of the Hugging Face community can host all of their model checkpoints for simple storage, discovery, and sharing. Download pre-trained models with the [`huggingface_hub` client library](https://huggingface.co/docs/huggingface_hub/index), with 🤗  [`Transformers`](https://huggingface.co/docs/transformers/index) for fine-tuning and other usages or with any of the over [15 integrated libraries](./models-libraries). You can even leverage [Inference Providers](/docs/inference-providers/) or [Inference Endpoints](https://huggingface.co/docs/inference-endpoints) to use models in production settings.

+The main [huggingface.co/models](https://huggingface.co/models) page exposes filters for Tasks, Parameter Count, Library, Supported Applications, and Inference Providers so you can narrow the catalog before opening a repo.


Suggested change

The main [huggingface.co/models](https://huggingface.co/models) page exposes filters for Tasks, Parameter Count, Library, Supported Applications, and Inference Providers so you can narrow the catalog before opening a repo.

The main [huggingface.co/models](https://huggingface.co/models) page exposes filters for Tasks, Parameter Count, Library, Supported Applications, and Inference Providers so you can narrow your search to find repos of interest.

pcuenca · 2025-11-24T13:19:21Z

docs/hub/organizations.md

 If an organization needs to track user access to a dataset or a model due to licensing or privacy issues, an organization can enable [user access requests](./datasets-gated).

-Note: Use the context switcher in your org settings to quickly switch between your account and your orgs.
+Note: Use the context switcher in your org settings to quickly switch between your account and your orgs. The same Settings page lets you toggle directly between your personal account and each organization without leaving the view, and every user or organization profile includes a dedicated repository listing page so you can explore their models, datasets, and Spaces in one place.


The additional explanation sounds a bit confusing to me.

pcuenca · 2025-11-24T13:22:53Z

docs/hub/paper-pages.md

 If you don't have any papers on Hugging Face yet, you can index your first one as explained [here](#can-i-have-a-paper-page-even-if-i-have-no-modeldatasetspace). Once available, you can claim authorship.


+## Recent additions


I like this one better than "recent additions". But let's use "organization" for consistency with the following paragraph (and https://huggingface.co/docs/hub/organizations)

pcuenca · 2025-11-24T13:23:18Z

docs/hub/paper-pages.md


+## Recent additions
+
+Submitting a Paper allows tagging an Organization so it appears on that org's dedicated `/papers` page (for example `https://huggingface.co/nvidia/papers`), which helps teams showcase their work together.


Suggested change

Submitting a Paper allows tagging an Organization so it appears on that org's dedicated `/papers` page (for example `https://huggingface.co/nvidia/papers`), which helps teams showcase their work together.

Submitting a Paper allows tagging an Organization so it appears on that org's dedicated `/papers` page (for example `https://huggingface.co/nvidia/papers`), which helps teams showcase their work.

pcuenca · 2025-11-24T13:29:00Z

docs/hub/paper-pages.md

+
+Submitting a Paper allows tagging an Organization so it appears on that org's dedicated `/papers` page (for example `https://huggingface.co/nvidia/papers`), which helps teams showcase their work together.
+
+The Daily Papers page highlights Trending Papers—ranked by recent GitHub activity along with their code links—and each entry includes an AI-generated one-sentence abstract so readers can quickly understand the main idea before diving deeper.


This feels a bit out of place here, especially after the section title rename. Perhaps we can add another mini-section? I'd also mention AK, link to the page, and remove the ranking explanation.

pcuenca · 2025-11-24T13:32:03Z

docs/hub/repositories-getting-started.md


 Note that the Hub prompts you to create a *Model Card*, which you can learn about in the [**Model Cards documentation**](./model-cards). Including a Model Card in your model repo is best practice, but since we're only making a test repo at the moment we can skip this.

+The Files & Versions tab also displays the total size of the current branch/folder so you can monitor how much storage your repo is using as you add or remove files.


I'd maybe move this to the end of the following section, because we haven't talked about the Files tab yet. Also, it's Files and versions. We can fix it in line 55 below too ...start by selecting the **Files** tab

pcuenca · 2025-11-24T13:40:37Z

docs/hub/security-sso.md


 You can easily integrate Hugging Face Hub with a variety of Identity Providers, such as Okta, OneLogin or Azure Active Directory (Azure AD). Hugging Face Hub can work with any OIDC-compliant or SAML Identity Provider.

+As of November 2025, the official Hugging Face App is listed in the Okta Integration Network, providing a pre-validated SAML configuration that organizations can add directly from the network. OIDC, SCIM, and JIT provisioning are planned for the same app soon.


There's this link: https://www.okta.com/integrations/hugging-face/. I wonder if this belongs to this page instead: https://huggingface.co/docs/hub/security-sso-okta-saml. If we want to keep it as a general intro here, I'd maybe suggest something like:

Suggested change

As of November 2025, the official Hugging Face App is listed in the Okta Integration Network, providing a pre-validated SAML configuration that organizations can add directly from the network. OIDC, SCIM, and JIT provisioning are planned for the same app soon.

For Okta, we provide an official [Hugging Face integration](https://www.okta.com/integrations/hugging-face) that allows SSO with SAML. OIDC, SCIM, and JIT provisioning are planned for the same app soon. Check detailed configuration guides below.

pcuenca · 2025-11-24T13:42:18Z

docs/inference-providers/pricing.md


 The same detailed view is available for organizations subscribed to a paid plan under the organization's settings.

+Enterprise Hub orgs also gain access to an Inference Providers dashboard (in Organization Settings) with charts for provider- and model-level usage, team-member breakdowns, API call volume over time, and accrued costs so you can monitor consumption without leaving the Hub.


Isn't this covered here? Or is this different?

Misc changes from changelog.

06cd91e

remove recommendations file.

1aa9b37

Vaibhavs10 commented Nov 18, 2025

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Vaibhavs10 added 2 commits November 18, 2025 16:47

Update docs/hub/xet/index.md

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up - language.

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Vaibhavs10 commented Nov 18, 2025

View reviewed changes

Vaibhavs10 requested review from gary149, julien-c and pcuenca November 18, 2025 15:56

pcuenca reviewed Nov 24, 2025

View reviewed changes


		You can easily integrate Hugging Face Hub with a variety of Identity Providers, such as Okta, OneLogin or Azure Active Directory (Azure AD). Hugging Face Hub can work with any OIDC-compliant or SAML Identity Provider.

		As of November 2025, the official Hugging Face App is listed in the Okta Integration Network, providing a pre-validated SAML configuration that organizations can add directly from the network. OIDC, SCIM, and JIT provisioning are planned for the same app soon.

		If you don't have any papers on Hugging Face yet, you can index your first one as explained [here](#can-i-have-a-paper-page-even-if-i-have-no-modeldatasetspace). Once available, you can claim authorship.


		## Recent additions


		Enterprise Hub organizations gain access to advanced compute options to accelerate their machine learning journey.

		In addition to ZeroGPU, `hf jobs run…` executes arbitrary CPU or GPU workloads on Hugging Face. The Jobs service is billed by the second, supports simple scripts and large fleets of hardware, and is controlled via the `hf jobs run` CLI (see [the Jobs guide](https://huggingface.co/docs/huggingface_hub/en/guides/jobs)).

	For GGUF files up to 10 GB the GGUF Editor label powered by Xet appears; clicking it opens an in-browser metadata editor so you can tweak properties such as the chat template without re-uploading the entire file.
	GGUF files up to 10 GB can be edited using an in-browser GGUF Editor for metadata entries, powered by Xet. This allows you to tweak properties such as the chat template without re-uploading the entire file.


		The Model Hub is where the members of the Hugging Face community can host all of their model checkpoints for simple storage, discovery, and sharing. Download pre-trained models with the [`huggingface_hub` client library](https://huggingface.co/docs/huggingface_hub/index), with 🤗 [`Transformers`](https://huggingface.co/docs/transformers/index) for fine-tuning and other usages or with any of the over [15 integrated libraries](./models-libraries). You can even leverage [Inference Providers](/docs/inference-providers/) or [Inference Endpoints](https://huggingface.co/docs/inference-endpoints) to use models in production settings.

		The main [huggingface.co/models](https://huggingface.co/models) page exposes filters for Tasks, Parameter Count, Library, Supported Applications, and Inference Providers so you can narrow the catalog before opening a repo.


		## Recent additions

		Submitting a Paper allows tagging an Organization so it appears on that org's dedicated `/papers` page (for example `https://huggingface.co/nvidia/papers`), which helps teams showcase their work together.


		Submitting a Paper allows tagging an Organization so it appears on that org's dedicated `/papers` page (for example `https://huggingface.co/nvidia/papers`), which helps teams showcase their work together.

		The Daily Papers page highlights Trending Papers—ranked by recent GitHub activity along with their code links—and each entry includes an AI-generated one-sentence abstract so readers can quickly understand the main idea before diving deeper.


		Note that the Hub prompts you to create a Model Card, which you can learn about in the [Model Cards documentation](./model-cards). Including a Model Card in your model repo is best practice, but since we're only making a test repo at the moment we can skip this.

		The Files & Versions tab also displays the total size of the current branch/folder so you can monitor how much storage your repo is using as you add or remove files.

	As of November 2025, the official Hugging Face App is listed in the Okta Integration Network, providing a pre-validated SAML configuration that organizations can add directly from the network. OIDC, SCIM, and JIT provisioning are planned for the same app soon.
	For Okta, we provide an official [Hugging Face integration](https://www.okta.com/integrations/hugging-face) that allows SSO with SAML. OIDC, SCIM, and JIT provisioning are planned for the same app soon. Check detailed configuration guides below.


		The same detailed view is available for organizations subscribed to a paid plan under the organization's settings.

		Enterprise Hub orgs also gain access to an Inference Providers dashboard (in Organization Settings) with charts for provider- and model-level usage, team-member breakdowns, API call volume over time, and accrued costs so you can monitor consumption without leaving the Hub.

Misc changes from changelog. #2062

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Vaibhavs10 commented Nov 18, 2025

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Vaibhavs10 commented Nov 18, 2025

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