Instructions to use iamhmh/autotrain-isic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamhmh/autotrain-isic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="iamhmh/autotrain-isic-classification") 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("iamhmh/autotrain-isic-classification") model = AutoModelForImageClassification.from_pretrained("iamhmh/autotrain-isic-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c18c632b0bd8b2aebe62e04dbcc5d9a3b80c9d67193179903d6be4ee20f2cb9
- Size of remote file:
- 5.43 kB
- SHA256:
- eb9d501d15c28db08c76906d2b502e5bcb8c54fff4a713d9ce4188a020e205e8
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