Transformers
PyTorch
Safetensors
English
fundus
diabetic retinopathy
classification
Eval Results (legacy)
Instructions to use ClementP/FundusDRGrading-vit_large_patch16_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClementP/FundusDRGrading-vit_large_patch16_384 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ClementP/FundusDRGrading-vit_large_patch16_384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efdec7355e1e1215b299afb9246014fe82e4476bcc85b1de48998f424703f49e
- Size of remote file:
- 1.22 GB
- SHA256:
- e9b8f9ed2c33c03de0a8ee6ad761a8dae6f9e6e23d7eb94b256b3fbab9055e0f
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