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.pkl from ashm/pubmed: direct link, hf CLI and curl.
- Browser
- Download file 46.6 kB
-
https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data.pkl
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data.pkl
-
curl -L -o data.pkl https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data.pkl
46.6 kB
- Xet hash:
- 4826f7144a6714031157d3d591fd43595f2766964650b986fce3e34690cf8b5d
- Size of remote file:
- 46.6 kB
- SHA256:
- 182a94b288a18147c1ca8515b9316ddef2362c521c3fbe5e0911d5f1a170a982
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