Instructions to use Atirath/Skin_Cancer_Using_MobileViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atirath/Skin_Cancer_Using_MobileViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Atirath/Skin_Cancer_Using_MobileViT") 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_MobileViT") model = AutoModelForImageClassification.from_pretrained("Atirath/Skin_Cancer_Using_MobileViT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca63f12b3e47336f975244db3696b44d203d363e3664f0a38c72c33cc49990c6
- Size of remote file:
- 19.9 MB
- SHA256:
- 76871cda679371e0c647c4059f9e01e39ab41448e1787ff271e830bdc62c5d80
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