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amona-io
/
house_fault_classification

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
2

Instructions to use amona-io/house_fault_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amona-io/house_fault_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="amona-io/house_fault_classification")
    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("amona-io/house_fault_classification")
    model = AutoModelForImageClassification.from_pretrained("amona-io/house_fault_classification")
  • Notebooks
  • Google Colab
  • Kaggle
house_fault_classification
343 MB
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  • 1 contributor
History: 10 commits
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gandalf-white
Update README.md
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  • .gitattributes
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  • README.md
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  • config.json
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  • label_map.json
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    Upload 3 files over 2 years ago