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:
- 999b081511dcd90b41af310ce78e5007e6496aa52576093d11b2dc840ff00070
- Size of remote file:
- 687 MB
- SHA256:
- 5d7d5a0593632d032bf998c7032b0c4b7d8b22ca808daf7429da3ef1a9f76c60
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