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/216 from ashm/pubmed: direct link, hf CLI and curl.
- Browser
- Download file 9.44 MB
-
https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/216
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/216
-
curl -L -o 216 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/216
9.44 MB
- Xet hash:
- 1a7e5096813d4e4f2fed272911ecce8c86f33a7f9ee6875a099667c418f9d993
- Size of remote file:
- 9.44 MB
- SHA256:
- 7d35796bd0378c9d2c00550b36ea3df3406f256298bf5a8b728530ad4b84c6d2
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