Transformers
PyTorch
Safetensors
English
fundus
diabetic retinopathy
classification
Eval Results (legacy)
Instructions to use ClementP/FundusDRGrading-swinv2_base_window16_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClementP/FundusDRGrading-swinv2_base_window16_256 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ClementP/FundusDRGrading-swinv2_base_window16_256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea04a3d778a29641c7ce3c5d6657686667e7f1ddd3405df2cd228076c1b192d
- Size of remote file:
- 348 MB
- SHA256:
- adaf9b3302a62a81f7a9550536d8a260044ab3be81ab63f2a1ee738db5da4619
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