Image Classification
timm
PyTorch
medical-imaging
ophthalmology
fundus
retina
multi-label-classification
dinov2
lora
efficientnetv2
retfound
Instructions to use TheodoreCousin/2-Net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use TheodoreCousin/2-Net with timm:
import timm model = timm.create_model("hf-hub:TheodoreCousin/2-Net", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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