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ulichovick
/
birdnet

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

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

  • Libraries
  • Transformers

    How to use ulichovick/birdnet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ulichovick/birdnet")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ulichovick/birdnet", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
birdnet
17.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
ulichovick's picture
ulichovick
Delete app.py
04424e7 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    42 Bytes
    Create README.md over 2 years ago
  • birds.csv
    8.31 kB
    Upload birds.csv over 2 years ago
  • config.json
    60 Bytes
    Update config.json over 2 years ago
  • model.py
    4.73 kB
    Create model.py over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    17.3 MB
    xet
    Push model using huggingface_hub. over 2 years ago