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
File size: 388 Bytes
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3 ty 0.5499 0.0167 0.7010 0.0206 0.7157 0.0151 0.7163 0.0086 0.8100 0.0116
4 yt 0.5281 0.0060 0.5454 0.0081 0.5733 0.0040 0.6240 0.0039 0.6531 0.0078
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