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meet67
/
Egde-color-classification

Image Classification
Transformers
PyTorch
TensorBoard
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use meet67/Egde-color-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use meet67/Egde-color-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="meet67/Egde-color-classification")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("meet67/Egde-color-classification", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Egde-color-classification
45.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
meet67's picture
meet67
Update config.json
5ab4865 over 2 years ago
  • runs
    commit files to HF hub over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    672 Bytes
    commit files to HF hub over 2 years ago
  • config.json
    18.3 kB
    Update config.json over 2 years ago
  • preprocessor_config.json
    422 Bytes
    commit files to HF hub over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    45.8 MB
    xet
    commit files to HF hub over 2 years ago