Feature Extraction
timm
PyTorch
Safetensors
image-classification
biology
cancer
owkin
histology
Eval Results (legacy)
Instructions to use 1aurent/vit_base_patch16_224.owkin_pancancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1aurent/vit_base_patch16_224.owkin_pancancer with timm:
import timm model = timm.create_model("hf_hub:1aurent/vit_base_patch16_224.owkin_pancancer", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
CHANGED
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@@ -25,7 +25,6 @@
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0.224,
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0.225
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],
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-
"num_classes": 0,
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"pool_size": null,
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"first_conv": "patch_embed.proj",
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"classifier": "head"
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0.224,
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0.225
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],
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"pool_size": null,
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"first_conv": "patch_embed.proj",
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"classifier": "head"
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