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: 123 Bytes
3c76023 | 1 2 3 4 5 6 | y label
1 H-optimus-0, card norm., CLS
2 ssl-vits16 final (93k)
3 D13: Midnight-12k teacher, 20k steps
4 Midnight-12k, CLS
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