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
Download data/paper/book-data/her2_leader_rows.dat from cloudkites/her2-reader: direct link, hf CLI and curl.
- Browser
- Download file 328 Bytes
-
https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_leader_rows.dat
- Command line
-
hf download hf://cloudkites/her2-reader/data/paper/book-data/her2_leader_rows.dat
-
curl -L -o her2_leader_rows.dat https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_leader_rows.dat
328 Bytes
| 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) | |