CLIP2vec encode_image error

[ilia10000]

When I try the listed example for get image vectors from CLIP:

from vectorhub.bi_encoders.text_image.torch import Clip2Vec
model = Clip2Vec()
model.encode_image('https://getvectorai.com/assets/hub-logo-with-text.png')

I get the following trace:

/home/is2961/anaconda3/lib/python3.9/site-packages/vectorhub/base.py:62: UserWarning: Unable to encode. Filling in with dummy vector.
  warnings.warn("Unable to encode. Filling in with dummy vector.")
Traceback (most recent call last):
  File "/home/is2961/anaconda3/lib/python3.9/site-packages/vectorhub/base.py", line 42, in catch_vector
    return func(*args, **kwargs)
  File "/home/is2961/anaconda3/lib/python3.9/site-packages/vectorhub/bi_encoders/text_image/torch/clip.py", line 101, in encode_image
    return self.model.encode_image(image).detach().numpy().tolist()[0]
RuntimeError: The following operation failed in the TorchScript interpreter.
Traceback of TorchScript, serialized code (most recent call last):
  File "code/__torch__/multimodal/model/multimodal_transformer/___torch_mangle_9591.py", line 19, in encode_image
    _0 = self.visual
    input = torch.to(image, torch.device("cuda:0"), 5, False, False, None)
    return (_0).forward(input, )
            ~~~~~~~~~~~ <--- HERE
  def encode_text(self: __torch__.multimodal.model.multimodal_transformer.___torch_mangle_9591.Multimodal,
    input: Tensor) -> Tensor:
  File "code/__torch__/multimodal/model/multimodal_transformer.py", line 20, in forward
    _4 = self.positional_embedding
    _5 = self.class_embedding
    _6 = (self.conv1).forward(input, )
          ~~~~~~~~~~~~~~~~~~~ <--- HERE
    _7 = ops.prim.NumToTensor(torch.size(_6, 0))
    _8 = int(_7)
  File "code/__torch__/torch/nn/modules/conv/___torch_mangle_9366.py", line 8, in forward
  def forward(self: __torch__.torch.nn.modules.conv.___torch_mangle_9366.Conv2d,
    input: Tensor) -> Tensor:
    x = torch._convolution(input, self.weight, None, [32, 32], [0, 0], [1, 1], False, [0, 0], 1, False, False, True, True)
        ~~~~~~~~~~~~~~~~~~ <--- HERE
    return x
  def forward1(self: __torch__.torch.nn.modules.conv.___torch_mangle_9366.Conv2d,

Traceback of TorchScript, original code (most recent call last):
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py(420): _conv_forward
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py(423): forward
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py(709): _slow_forward
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py(725): _call_impl
/root/workspace/multimodal-pytorch/multimodal/model/multimodal_transformer.py(85): forward
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py(709): _slow_forward
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py(725): _call_impl
/root/workspace/multimodal-pytorch/multimodal/model/multimodal_transformer.py(221): visual_forward
/opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py(940): trace_module
<ipython-input-1-40b054242c5d>(36): export_torchscript_models
<ipython-input-2-808c11c4d1cf>(3): <module>
/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py(3418): run_code
/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py(3338): run_ast_nodes
/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py(3147): run_cell_async
/opt/conda/lib/python3.7/site-packages/IPython/core/async_helpers.py(68): _pseudo_sync_runner
/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py(2923): _run_cell
/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py(2878): run_cell
/opt/conda/lib/python3.7/site-packages/IPython/terminal/interactiveshell.py(555): interact
/opt/conda/lib/python3.7/site-packages/IPython/terminal/interactiveshell.py(564): mainloop
/opt/conda/lib/python3.7/site-packages/IPython/terminal/ipapp.py(356): start
/opt/conda/lib/python3.7/site-packages/traitlets/config/application.py(845): launch_instance
/opt/conda/lib/python3.7/site-packages/IPython/__init__.py(126): start_ipython
/opt/conda/bin/ipython(8): <module>
RuntimeError: Expected 4-dimensional input for 4-dimensional weight [768, 3, 32, 32], but got 5-dimensional input of size [1, 1, 3, 224, 224] instead

Is there an easy fix for this?