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/103 from ashm/pubmed: direct link, hf CLI and curl.
- Browser
- Download file 7.08 MB
-
https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/103
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/103
-
curl -L -o 103 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/103
7.08 MB
- Xet hash:
- 94465fc6c3a5b00bb77258b4a65f946d182f9fb5c2a1aa4d695b0ac5205c0d0e
- Size of remote file:
- 7.08 MB
- SHA256:
- d2e3d0739b6f24e29afba4293346cb6db45e57e403bbaea2e3d7d7945b1e2060
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