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
File size: 85 Bytes
e369038 | 1 2 3 4 5 6 7 8 9 10 11 | [
"ADI",
"BACK",
"DEB",
"LYM",
"MUC",
"MUS",
"NORM",
"STR",
"TUM"
] |