Instructions to use Fu-chiang/bit-50-skin-lesions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fu-chiang/bit-50-skin-lesions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fu-chiang/bit-50-skin-lesions") 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("Fu-chiang/bit-50-skin-lesions") model = AutoModelForImageClassification.from_pretrained("Fu-chiang/bit-50-skin-lesions") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27d0b576aa8cdfc43d8b2ad857251c76a5da6d1ede5818d0f430777798542e40
- Size of remote file:
- 94.1 MB
- SHA256:
- 6ba1fe789de85b5656a87c2a49163ab836851947b0b51669182448afc44b8076
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