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/192 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/192
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/192
-
curl -L -o 192 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/192
2.36 MB
- Xet hash:
- 1f22826c8f160aca10baaa3080045fe56b06c5299bd0dc5e5a23507823a99752
- Size of remote file:
- 2.36 MB
- SHA256:
- cfe18bc6bddaf46993214a2a669cff479e5f50c28438f1d07c86f99948524605
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