Instructions to use JWonderLand/StainNet-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use JWonderLand/StainNet-Base with timm:
import timm model = timm.create_model("hf_hub:JWonderLand/StainNet-Base", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a361beb44690caa51059f46079a21bc1691907eb3a7be2325d202e7a57256d5d
- Size of remote file:
- 343 MB
- SHA256:
- 796d9d58abc2ab23b333e70ada13696c26f177317a505ed47bbeb3f9746df4ef
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