Instructions to use diffusionai/skinclassifier2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusionai/skinclassifier2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="diffusionai/skinclassifier2") 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("diffusionai/skinclassifier2") model = AutoModelForImageClassification.from_pretrained("diffusionai/skinclassifier2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0d81f25fffe96b6780e56dd391908b55e48cf8711869ec034799179b18bf983
- Size of remote file:
- 627 Bytes
- SHA256:
- 42da4ab01bfe87a79f57df6272749bf20e2faf078b6c5acc4dba36ec4df83062
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