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/244 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/244
- Command line
-
hf download hf://ashm/pubmed/open_clip_pytorch_model/data/244
-
curl -L -o 244 https://huggingface.co/ashm/pubmed/resolve/main/open_clip_pytorch_model/data/244
2.36 MB
- Xet hash:
- 4866c5f0eb9dbc013c55233fa2666149928ba1c73af16431b0934008f4a40cb9
- Size of remote file:
- 2.36 MB
- SHA256:
- f3a85c853bbdd51e0566e1e814bc5dcdcc16520bcedec4f27061aba8a2fb148c
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