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")# 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
- Xet hash:
- d72c5a3db6b8aebabd71d321f1db5d97ec21ad8a351808f17bb14c661cabb005
- Size of remote file:
- 627 Bytes
- SHA256:
- 958b32e5ca5b4e44cc52d8083335416618c09ee5be862a4b5968879024d0e237
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