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_traj_vitb16.dat from cloudkites/her2-reader: direct link, hf CLI and curl.
- Browser
- Download file 254 Bytes
-
https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_traj_vitb16.dat
- Command line
-
hf download hf://cloudkites/her2-reader/data/paper/book-data/her2_traj_vitb16.dat
-
curl -L -o her2_traj_vitb16.dat https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_traj_vitb16.dat
254 Bytes
| step probe yy yy_sd tt tt_sd ty ty_sd yt yt_sd | |
| 10000 0.2753 0.7575 0.0358 0.5877 0.0045 0.5724 0.0202 0.5307 0.0105 | |
| 35000 0.3636 0.8290 0.0099 0.5819 0.0184 0.6380 0.0233 0.5455 0.0017 | |
| 40000 0.3834 0.7934 0.0135 0.6074 0.0161 0.6651 0.0377 0.5472 0.0057 | |