Transformers
PyTorch
Safetensors
English
fundus
diabetic retinopathy
classification
Eval Results (legacy)
Instructions to use ClementP/FundusDRGrading-efficientnet_b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClementP/FundusDRGrading-efficientnet_b0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ClementP/FundusDRGrading-efficientnet_b0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd9f39d10da1127800c7be65467fa48832e92d79252a6997b7f6cc75ce4e0e0d
- Size of remote file:
- 16.2 MB
- SHA256:
- 0d9a18b0cb6c90d1f30bf2e66153b368bd7ff0bcb45b6690e8d5ce14fa19f69b
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