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/160 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/160
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/160
-
curl -L -o 160 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/160
2.36 MB
- Xet hash:
- dda5b31cea2b63ec9977614c9bf580d4770ea277a79a703df0dcaf4d9b3a37bb
- Size of remote file:
- 2.36 MB
- SHA256:
- 60fc940b6ffb3de05e270bc44461315e632868afd1a2e2c12a4aa3d20f6f1486
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