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haywoodsloan
/
ai-image-detector-dev-deploy

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Trained with AutoTrain
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use haywoodsloan/ai-image-detector-dev-deploy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use haywoodsloan/ai-image-detector-dev-deploy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="haywoodsloan/ai-image-detector-dev-deploy")
    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("haywoodsloan/ai-image-detector-dev-deploy")
    model = AutoModelForImageClassification.from_pretrained("haywoodsloan/ai-image-detector-dev-deploy")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
ai-image-detector-dev-deploy
3.12 GB
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  • 1 contributor
History: 3 commits
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thecupcutapk
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