Instructions to use JWonderLand/StainNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use JWonderLand/StainNet with timm:
import timm model = timm.create_model("hf_hub:JWonderLand/StainNet", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9644b7f639e4b0de18492d9b2e4b3ab6fa0fa930484c43625143c4cce518072
- Size of remote file:
- 86.7 MB
- SHA256:
- fe09240b7e161c4d1d19f97f31a3eeba3303876e073de5ad920ad20f7c869c02
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