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:
- 6cced92bf705b238309b3a20946d509de744724e230ff78f30973e6446189f82
- Size of remote file:
- 343 MB
- SHA256:
- 429f4272c964ddad4a60454f2ed05268548fd9610a3ff446bb761b5e7d0be40d
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