Instructions to use 1aurent/resnet50.tiatoolbox-kather100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1aurent/resnet50.tiatoolbox-kather100k with timm:
import timm model = timm.create_model("hf-hub:1aurent/resnet50.tiatoolbox-kather100k", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from 1aurent/resnet50.tiatoolbox-kather100k: direct link, hf CLI and curl.
- Browser
- Download file 94.3 MB
-
https://huggingface.co/1aurent/resnet50.tiatoolbox-kather100k/resolve/413bbf3fb44fe0077c7fae4a0ff18c37271dc546/model.safetensors
- Command line
-
hf download hf://1aurent/resnet50.tiatoolbox-kather100k@413bbf3fb44fe0077c7fae4a0ff18c37271dc546/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/1aurent/resnet50.tiatoolbox-kather100k/resolve/413bbf3fb44fe0077c7fae4a0ff18c37271dc546/model.safetensors
94.3 MB
- Xet hash:
- 8c1c82ca9084c31650ad083754821c3516b76318cafdce45b4ba3d1e5e47fa16
- Size of remote file:
- 94.3 MB
- SHA256:
- 95315e0a670dd8782f7dcb9fa90054716996ec0ed82d17ad7913e04e5054c4c7
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