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/242 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/242
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/242
-
curl -L -o 242 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/242
2.36 MB
- Xet hash:
- 3a2c4cb1ca2d8760a84c180c0a4595d7f537de84485785b614540ce00961f5d9
- Size of remote file:
- 2.36 MB
- SHA256:
- d3b22fa1f442625b35279216cf28d382cfbf9c5d1050b61f2fb20e4c92fbcc8a
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