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/135 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/135
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/135
-
curl -L -o 135 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/135
9.44 MB
- Xet hash:
- 25c36c904a868eeaca18d2feb418047289ecfc319695ab9d6b21e16517d75672
- Size of remote file:
- 9.44 MB
- SHA256:
- 39ebd9a28560871eba7c95ed1a2308cf0404b2e44494fc20c2c2018e2465e7f5
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