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_bars_students.dat from cloudkites/her2-reader: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_bars_students.dat
- Command line
-
hf download hf://cloudkites/her2-reader/data/paper/book-data/her2_bars_students.dat
-
curl -L -o her2_bars_students.dat https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_bars_students.dat
388 Bytes
| x cell s16s50 s16s50_sd d13 d13_sd d14 d14_sd midnight midnight_sd hoptcard hoptcard_sd | |
| 1 yy 0.7808 0.0174 0.7714 0.0195 0.8064 0.0183 0.8064 0.0091 0.8868 0.0072 | |
| 2 tt 0.6085 0.0042 0.5899 0.0170 0.6688 0.0101 0.5970 0.0028 0.6755 0.0162 | |
| 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 | |