Feature Extraction
timm
PyTorch
Safetensors
image-classification
biology
cancer
owkin
histology
Eval Results (legacy)
Instructions to use 1aurent/vit_base_patch16_224.owkin_pancancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1aurent/vit_base_patch16_224.owkin_pancancer with timm:
import timm model = timm.create_model("hf_hub:1aurent/vit_base_patch16_224.owkin_pancancer", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
549b43c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:24b3406cdb8b655af52bc7f7d40469ddd89cce9f461d92e8f668c59d9946ca3c
size 343250533
|