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aisak-ai
/
AD

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

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

  • Libraries
  • Transformers

    How to use aisak-ai/AD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="aisak-ai/AD")
    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("aisak-ai/AD")
    model = AutoModelForImageClassification.from_pretrained("aisak-ai/AD")
  • Notebooks
  • Google Colab
  • Kaggle
AD
687 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
mandelakori's picture
mandelakori
Update config.json
a96ea50 verified over 1 year ago
  • .gitattributes
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  • LICENSE
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  • README.md
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  • config.json
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  • model.safetensors
    343 MB
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
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    Upload folder using huggingface_hub over 1 year ago