Instructions to use driboune/skin_type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use driboune/skin_type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="driboune/skin_type") 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("driboune/skin_type") model = AutoModelForImageClassification.from_pretrained("driboune/skin_type", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# skin_type
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Autogenerated by HuggingPics🤗🖼️
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# skin_type
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Aiming for fairness in image classification for humans, knowing the skin type of subjects is relevant to make sure the model performs correctly on all skin types.
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Autogenerated by HuggingPics🤗🖼️
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