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.dat from cloudkites/her2-reader: direct link, hf CLI and curl.
- Browser
- Download file 1.35 kB
-
https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_leader.dat
- Command line
-
hf download hf://cloudkites/her2-reader/data/paper/book-data/her2_leader.dat
-
curl -L -o her2_leader.dat https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_leader.dat
1.35 kB
| y key cls params gmacs cpu400 yy yy_sd yy_rank tt tt_sd tt_rank ty ty_sd ty_rank yt yt_sd yt_rank | |
| 1 phikon ref 8.57979e+07 17.56 22.98 0.8756 0.0047 2 0.6690 0.0085 2 0.8128 0.0191 1 0.6606 0.0003 1 | |
| 2 hoptimus0-cardnorm ref 1.13465e+09 304.17 312.29 0.8868 0.0072 1 0.6755 0.0162 1 0.8100 0.0116 2 0.6531 0.0078 3 | |
| 3 distill-hoptimus-vitb16-5k-from-vitb16-step40k ours 8.57979e+07 17.56 22.98 0.8177 0.0098 5 0.6332 0.0157 5 0.7757 0.0098 3 0.6406 0.0080 4 | |
| 4 distill-hoptimus-5k-from-vits16-final best 2.16653e+07 4.60 8.43 0.8196 0.0197 4 0.6228 0.0229 6 0.7443 0.0219 4 0.5930 0.0059 7 | |
| 5 virchow2 ref 6.31151e+08 170.07 nan 0.8673 0.0086 3 0.6336 0.0146 4 0.7425 0.0349 5 0.6541 0.0058 2 | |
| 6 midnight12k-cls-mean ref 1.13465e+09 299.39 312.29 0.8114 0.0112 6 0.6105 0.0084 7 0.7337 0.0209 6 0.6376 0.0039 5 | |
| 7 hibou-b ref 8.57211e+07 23.54 nan 0.7794 0.0119 7 0.6442 0.0161 3 0.7172 0.0299 7 0.6309 0.0105 6 | |
| 8 distill-midnight-20k ours 2.16653e+07 4.60 8.43 0.7714 0.0195 8 0.5899 0.0170 8 0.7010 0.0206 8 0.5454 0.0081 10 | |
| 9 resnet50-imagenet ctl 2.56e+07 4.10 nan 0.7009 0.0427 11 0.5517 0.0279 10 0.6296 0.0149 9 0.5606 0.0069 9 | |
| 10 dinov2-vits14 ctl 2.16192e+07 6.12 nan 0.7192 0.0203 10 0.5011 0.0226 11 0.5889 0.0203 10 0.5764 0.0115 8 | |
| 11 ssl-vits16-final ours 2.16653e+07 4.60 8.43 0.7675 0.0267 9 0.5891 0.0128 9 0.5841 0.0385 11 0.5205 0.0029 11 | |