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Update hf_hub.mdx with new import, rename labels
Change suggested import from timm.models.hub.push_to_hf_hub to timm.models.push_to_hf_hub
timm.models.hub.push_to_hf_hub import fails because of refactor. timm now uses _hub.py
https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/_hub.py#L270
which is imported into timm.models.__init__
6ccb7d6a7c/timm/models/__init__.py (L87)
Also update model_cfg=dict(labels...) to model_cfg=dict(label_names...) as per deprecation warning, while we're here.
Thank you for all your work creating this, it's a brilliant library!
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@ -39,8 +39,8 @@ Here is where you would normally train or fine-tune the model. We'll skip that f
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Let's pretend we've now fine-tuned the model. The next step would be to push it to the Hub! We can do this with the `timm.models.hub.push_to_hf_hub` function.
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```py
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>>> model_cfg = dict(labels=['a', 'b', 'c', 'd'])
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>>> timm.models.hub.push_to_hf_hub(model, 'resnet18-random', model_config=model_cfg)
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>>> model_cfg = dict(label_names=['a', 'b', 'c', 'd'])
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>>> timm.models.push_to_hf_hub(model, 'resnet18-random', model_config=model_cfg)
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```
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Running the above would push the model to `<your-username>/resnet18-random` on the Hub. You can now share this model with your friends, or use it in your own code!
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