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_vs_trackA.dat from cloudkites/her2-reader: direct link, hf CLI and curl.
- Browser
- Download file 2.03 kB
-
https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_vs_trackA.dat
- Command line
-
hf download hf://cloudkites/her2-reader/data/paper/book-data/her2_vs_trackA.dat
-
curl -L -o her2_vs_trackA.dat https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/book-data/her2_vs_trackA.dat
2.03 kB
| key group yy ta_yale tt ta_tcga | |
| dinov2-vits14 ctl 0.7192 0.7939 0.5011 0.5410 | |
| distill-hoptimus-20k dst 0.8064 0.8561 0.6688 0.6532 | |
| distill-hoptimus-5k-from-random dst 0.7922 0.8282 0.5922 0.5905 | |
| distill-hoptimus-5k-from-vits16-final best 0.8196 0.8697 0.6228 0.6578 | |
| distill-hoptimus-5k-from-vits16-step50k dst 0.8143 0.8455 0.6361 0.6512 | |
| distill-hoptimus-vitb16-5k-from-vitb16-step40k dstb 0.8177 0.8563 0.6332 0.6627 | |
| distill-hoptimus-vitb16-5k-from-vitb16-step45k dstb 0.7765 0.8395 0.6329 0.6452 | |
| distill-hoptimus-vitb16-5k-from-vitb16-step50k dstb 0.8032 0.8513 0.6148 nan | |
| distill-midnight-20k dst 0.7714 0.8384 0.5899 0.6159 | |
| distill-midnight-5k-from-random dst 0.7616 0.8068 0.5474 0.5578 | |
| distill-midnight-5k-from-vits16-final dst 0.7923 0.8092 0.5878 0.5601 | |
| distill-midnight-5k-from-vits16-step50k dst 0.7718 0.8079 0.5688 0.5719 | |
| hibou-b ref 0.7794 0.8534 0.6442 0.6050 | |
| hoptimus0-1.0um ref 0.9088 0.9134 0.6591 0.6655 | |
| hoptimus0-cardnorm ref 0.8868 0.9129 0.6755 0.6597 | |
| hoptimus0-cls-mean ref 0.8925 0.9105 0.6723 0.6694 | |
| hoptimus0-imagenetnorm ref 0.8978 0.9068 0.6685 0.6588 | |
| midnight12k ref 0.8064 0.8555 0.5970 0.6063 | |
| midnight12k-1.0um ref 0.8013 0.8403 0.5858 0.6033 | |
| midnight12k-cls-mean ref 0.8114 0.8776 0.6105 0.6299 | |
| phikon ref 0.8756 0.9011 0.6690 0.6563 | |
| resnet50-imagenet ctl 0.7009 0.7303 0.5517 0.5670 | |
| ssl-vitb16-step10k b16 0.7575 0.7561 0.5877 0.5915 | |
| ssl-vitb16-step35k b16 0.8290 0.8466 0.5819 0.5895 | |
| ssl-vitb16-step40k b16 0.7934 0.8400 0.6074 0.6214 | |
| ssl-vits16-final s16 0.7675 0.8268 0.5891 0.5954 | |
| ssl-vits16-step20k s16 0.7382 0.7987 0.5675 0.5912 | |
| ssl-vits16-step35k s16 0.8039 0.8313 0.5992 0.6102 | |
| ssl-vits16-step40k s16 0.7919 0.8297 0.6199 0.5972 | |
| ssl-vits16-step45k s16 0.7601 0.8166 0.5887 0.6123 | |
| ssl-vits16-step50k s16 0.7808 0.8311 0.6085 0.5867 | |
| ssl-vits16-step55k s16 0.7880 0.8450 0.5888 0.5888 | |
| ssl-vits16-step5k s16 0.7264 0.7855 0.5697 0.5432 | |
| ssl-vits16-step60k s16 0.7775 0.8271 0.5958 0.5924 | |
| ssl-vits16-step65k s16 0.7588 0.8018 0.6211 0.5941 | |
| vits16-random-init ctl 0.5900 0.6613 0.5080 0.4849 | |