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bmwrks
/
birdcallv1

Audio Classification
Transformers
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use bmwrks/birdcallv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bmwrks/birdcallv1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="bmwrks/birdcallv1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("bmwrks/birdcallv1")
    model = AutoModelForAudioClassification.from_pretrained("bmwrks/birdcallv1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
birdcallv1
379 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
bmwrks's picture
bmwrks
End of training
15f2a0d verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.32 kB
    End of training over 2 years ago
  • config.json
    10.1 kB
    End of training over 2 years ago
  • model.safetensors
    378 MB
    xet
    End of training over 2 years ago
  • preprocessor_config.json
    215 Bytes
    End of training over 2 years ago
  • training_args.bin
    4.92 kB
    xet
    End of training over 2 years ago