Image Classification
timm
PyTorch
histopathology
medical-imaging
swin-transformer
computational-pathology
colorectal-cancer
digital-pathology
gradcam
explainable-ai
Eval Results (legacy)
Instructions to use rarfileexe/X-Pathology-Colorectal-Tissue-Classifier-CTransPath-Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rarfileexe/X-Pathology-Colorectal-Tissue-Classifier-CTransPath-Backbone with timm:
import timm model = timm.create_model("hf-hub:rarfileexe/X-Pathology-Colorectal-Tissue-Classifier-CTransPath-Backbone", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download class_names.json from rarfileexe/X-Pathology-Colorectal-Tissue-Classifier-CTransPath-Backbone: direct link, hf CLI and curl.
- Browser
- Download file 85 Bytes
-
https://huggingface.co/rarfileexe/X-Pathology-Colorectal-Tissue-Classifier-CTransPath-Backbone/resolve/main/class_names.json
- Command line
-
hf download hf://rarfileexe/X-Pathology-Colorectal-Tissue-Classifier-CTransPath-Backbone/class_names.json
-
curl -L -o class_names.json https://huggingface.co/rarfileexe/X-Pathology-Colorectal-Tissue-Classifier-CTransPath-Backbone/resolve/main/class_names.json
85 Bytes
| [ | |
| "ADI", | |
| "BACK", | |
| "DEB", | |
| "LYM", | |
| "MUC", | |
| "MUS", | |
| "NORM", | |
| "STR", | |
| "TUM" | |
| ] |