Instructions to use RationAI/vit-patch16-224-prostate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RationAI/vit-patch16-224-prostate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RationAI/vit-patch16-224-prostate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RationAI/vit-patch16-224-prostate: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/RationAI/vit-patch16-224-prostate/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RationAI/vit-patch16-224-prostate/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RationAI/vit-patch16-224-prostate/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 16915fcdee10a9ec4e9cff1bd7b3f3c850f18f2bc920f6f077167dfd829338db
- Size of remote file:
- 343 MB
- SHA256:
- 6309779cdf4bd416b9ff3378d7fd4a59a7d2b19ef9c8a8939fbae7bc59ab5ebe
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