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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a32443ef3afcbe573118c4e5d3ad5da37361dbc88cb57793404a20139147ea9c
- Size of remote file:
- 3.9 kB
- SHA256:
- 8862a1c5b21525e620afc66b300907a9ea89d72423fb81b6d1d942e2cd0a1d24
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