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HardlyHumans
/
Facial-expression-detection

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use HardlyHumans/Facial-expression-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HardlyHumans/Facial-expression-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="HardlyHumans/Facial-expression-detection")
    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("HardlyHumans/Facial-expression-detection")
    model = AutoModelForImageClassification.from_pretrained("HardlyHumans/Facial-expression-detection")
  • Notebooks
  • Google Colab
  • Kaggle
Facial-expression-detection / fine-tuned-vit
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  • 1 contributor
History: 1 commit
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aum27
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f4d5412 verified almost 2 years ago
  • config.json
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  • model.safetensors
    343 MB
    xet
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