Instructions to use jamessyx/pathgenclip-vit-large-patch14-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use jamessyx/pathgenclip-vit-large-patch14-hf with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:jamessyx/pathgenclip-vit-large-patch14-hf') tokenizer = open_clip.get_tokenizer('hf-hub:jamessyx/pathgenclip-vit-large-patch14-hf') - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jamessyx/pathgenclip-vit-large-patch14-hf: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/jamessyx/pathgenclip-vit-large-patch14-hf/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jamessyx/pathgenclip-vit-large-patch14-hf/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jamessyx/pathgenclip-vit-large-patch14-hf/resolve/main/pytorch_model.bin
1.71 GB
- Xet hash:
- c966eff1ae44ed8778ebac82e471adf7b832b9231e1d320c2c3b790d7a5ebb7b
- Size of remote file:
- 1.71 GB
- SHA256:
- 1be6e5645a8e2be86a83bb15382cf79c4146073b6116f109ce996314ef1fbee7
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