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: 328 Bytes
3c76023 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | y label
1 Phikon (86M)
2 H-optimus-0 (1.1B)
3 Ours, D18: ViT-B student of H-optimus-0 (86M)
4 \textbf{Ours, D16: student of H-optimus-0} (22M)
5 Virchow2 (631M)
6 Midnight-12k (1.1B)
7 Hibou-B (86M)
8 Ours, D13: student of Midnight-12k (22M)
9 ResNet-50 (26M)
10 DINOv2 ViT-S/14 (22M)
11 Ours, ssl-vits16: self-supervised (22M)
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