Instructions to use Pro-Coder/skin-lesion-vit-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pro-Coder/skin-lesion-vit-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Pro-Coder/skin-lesion-vit-finetuned") 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("Pro-Coder/skin-lesion-vit-finetuned") model = AutoModelForImageClassification.from_pretrained("Pro-Coder/skin-lesion-vit-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4eae5fc28f033e3c4ce3bb58bbd5bad0d49448c85dc2b65b325ec40526c2e81
- Size of remote file:
- 5.59 kB
- SHA256:
- 01738145d898d5361d676aae7b50e0c5050e1c3697d1db63c08ab426f1233e1a
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