Instructions to use diffusionai/skinclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusionai/skinclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="diffusionai/skinclassifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("diffusionai/skinclassifier") model = AutoModelForImageClassification.from_pretrained("diffusionai/skinclassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from diffusionai/skinclassifier: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/diffusionai/skinclassifier/resolve/main/training_args.bin
- Command line
-
hf download hf://diffusionai/skinclassifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/diffusionai/skinclassifier/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 6c034a453d66bef4d68bbcb2915f5caaa0a493e49560553f71618e36891e6d5c
- Size of remote file:
- 4.16 kB
- SHA256:
- 1dea8f174d216c62d3e2d6c19ec321f498b9c0ef69bfd17ab7892bf25bc9bcf8
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