Instructions to use ClementP/FundusDRGrading-vit_base_patch16_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClementP/FundusDRGrading-vit_base_patch16_384 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ClementP/FundusDRGrading-vit_base_patch16_384", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4cacc044582e04ef72633a512f224d257b6744d22f5934fd6a690809c580094
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size 345798250
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