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umm-maybe
/
AI-image-detector

Image Classification
Transformers
PyTorch
Trained with AutoTrain
vision
Model card Files Files and versions
xet
Community
6

Instructions to use umm-maybe/AI-image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use umm-maybe/AI-image-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="umm-maybe/AI-image-detector")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("umm-maybe/AI-image-detector", dtype="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
AI-image-detector
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
umm-maybe's picture
umm-maybe
Update README.md
c7e223b over 2 years ago
  • .gitattributes
    1.52 kB
    Commit From AutoTrain over 3 years ago
  • README.md
    2.39 kB
    Update README.md over 2 years ago
  • config.json
    937 Bytes
    xet
    Commit From AutoTrain over 3 years ago
  • preprocessor_config.json
    240 Bytes
    xet
    Commit From AutoTrain over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    348 MB
    xet
    Commit From AutoTrain over 3 years ago