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jacoballessio
/
ai-image-detect

Image Classification
Transformers
PyTorch
Safetensors
vit
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use jacoballessio/ai-image-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jacoballessio/ai-image-detect with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jacoballessio/ai-image-detect")
    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("jacoballessio/ai-image-detect")
    model = AutoModelForImageClassification.from_pretrained("jacoballessio/ai-image-detect")
  • Notebooks
  • Google Colab
  • Kaggle
ai-image-detect
1.03 GB
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  • 1 contributor
History: 59 commits
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jacoballessio
Update README.md
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  • vit_model.pth
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