Instructions to use Atirath/Skin_Cancer_Using_ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atirath/Skin_Cancer_Using_ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Atirath/Skin_Cancer_Using_ViT") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Atirath/Skin_Cancer_Using_ViT") model = AutoModelForImageClassification.from_pretrained("Atirath/Skin_Cancer_Using_ViT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe7ee2292f69753d695dff93c783b948c6bddbaa804bf8367efff3fa1d6a684a
- Size of remote file:
- 343 MB
- SHA256:
- 4ef8f347baf854247cff745dc6414ea5b6e5a28f76a8fc29a5382e7b58f4793a
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