Instructions to use JuIm/ViT-Breast-Cancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuIm/ViT-Breast-Cancer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JuIm/ViT-Breast-Cancer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("JuIm/ViT-Breast-Cancer") model = AutoModelForImageClassification.from_pretrained("JuIm/ViT-Breast-Cancer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature0c3ea7d -
Update README.md
Verified signaturee477b55 -
Update README.md
Verified signature505b92c -
Update README.md
Verified signature2b26523 -
Update README.md
Verified signature9b47cac -
Update README.md
Verified signatured02767f -
Update README.md
Verified signature4c5af8f -
Update README.md
Verified signature951a3a3 -
Update README.md
Verified signature9b29e44 -
Update README.md
Verified signature221fed3 -
End of training
Verified signatureec6967f -
initial commit
Verified signature518151e