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cosqnetwork
/
aquila_mamogram_classifier

Image Classification
Transformers
Model card Files Files and versions
xet
Community
1

Instructions to use cosqnetwork/aquila_mamogram_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cosqnetwork/aquila_mamogram_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="cosqnetwork/aquila_mamogram_classifier")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("cosqnetwork/aquila_mamogram_classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
aquila_mamogram_classifier
98.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
johanjanil's picture
johanjanil
Added requirements file
4422bb6 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    123 Bytes
    Update README.md about 2 months ago
  • best_model.pth

    Detected Pickle imports (4)

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

    What is a pickle import?

    98.8 MB
    xet
    Initial model commit (#1) about 2 months ago
  • handler.py
    3.48 kB
    Added handler for the model about 2 months ago
  • requirements.txt
    46 Bytes
    Added requirements file about 2 months ago