Transformers
PyTorch
Safetensors
English
fundus
diabetic retinopathy
classification
Eval Results (legacy)
Instructions to use ClementP/FundusDRGrading-convnext_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClementP/FundusDRGrading-convnext_small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ClementP/FundusDRGrading-convnext_small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0286b4b11b69bc1f37c5b48841e45c0a064c84a62c9d5ff9bb0b4def5292afd
- Size of remote file:
- 198 MB
- SHA256:
- c2787e09865e03dac5a35cfcf95fe35f77e4fd010224dce3754f39a7cd907a87
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