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Bisher
/
wav2vec2_ASV_deepfake_audio_detection

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Bisher/wav2vec2_ASV_deepfake_audio_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Bisher/wav2vec2_ASV_deepfake_audio_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Bisher/wav2vec2_ASV_deepfake_audio_detection")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Bisher/wav2vec2_ASV_deepfake_audio_detection")
    model = AutoModelForAudioClassification.from_pretrained("Bisher/wav2vec2_ASV_deepfake_audio_detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2_ASV_deepfake_audio_detection
378 MB
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  • 1 contributor
History: 6 commits
Bisher's picture
Bisher
End of training
94a9921 verified almost 2 years ago
  • runs
    End of training almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    6.95 kB
    End of training almost 2 years ago
  • config.json
    2.49 kB
    Training in progress, step 100 almost 2 years ago
  • model.safetensors
    378 MB
    xet
    End of training almost 2 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, step 100 almost 2 years ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, step 100 almost 2 years ago