Image Feature Extraction
timm
Safetensors
pathology
histopathology
her2
breast-cancer
h-and-e
vision-transformer
multiple-instance-learning
Instructions to use cloudkites/her2-reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use cloudkites/her2-reader with timm:
import timm model = timm.create_model("hf-hub:cloudkites/her2-reader", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Commit History
12 days ago
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HER2 reader: ViT-S/16 encoders at every stage, the deployed reader, per-slide predictions and paper data (part 3)
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HER2 reader: ViT-S/16 encoders at every stage, the deployed reader, per-slide predictions and paper data (part 2)
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HER2 reader: ViT-S/16 encoders at every stage, the deployed reader, per-slide predictions and paper data
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