Instructions to use ashm/pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use ashm/pubmed with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:ashm/pubmed') tokenizer = open_clip.get_tokenizer('hf-hub:ashm/pubmed') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model/data/258 from ashm/pubmed: direct link, hf CLI and curl.
- Browser
- Download file 2.36 MB
-
https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/258
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/258
-
curl -L -o 258 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/258
2.36 MB
- Xet hash:
- 41c6943262123d64f254ba36a83602979287eb07df140eaf7f239cc9896fea28
- Size of remote file:
- 2.36 MB
- SHA256:
- c66c7cec6a73df7f5c97a80933c46c50543cc2e75b5555993186ace27cfb0ce9
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