Transformers
PyTorch
Safetensors
English
fundus
diabetic retinopathy
classification
Eval Results (legacy)
Instructions to use ClementP/FundusDRGrading-vit_base_patch14_dinov2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClementP/FundusDRGrading-vit_base_patch14_dinov2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ClementP/FundusDRGrading-vit_base_patch14_dinov2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d58290dda39c31a89985ba518731344dcec0e2c2609c5c4ecbf9b0dcbdc11180
- Size of remote file:
- 346 MB
- SHA256:
- 5267c52d28fc6d392009db187e810cfa7c86228b62499faf9be5d49b388fe168
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