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Vansh180
/
deepfake-audio-wav2vec2

Audio Classification
Transformers
Safetensors
PyTorch
English
wav2vec2
deepfake-detection
spoof-detection
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Vansh180/deepfake-audio-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vansh180/deepfake-audio-wav2vec2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Vansh180/deepfake-audio-wav2vec2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Vansh180/deepfake-audio-wav2vec2")
    model = AutoModelForAudioClassification.from_pretrained("Vansh180/deepfake-audio-wav2vec2")
  • Notebooks
  • Google Colab
  • Kaggle
deepfake-audio-wav2vec2
378 MB
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  • 1 contributor
History: 4 commits
Vansh180's picture
Vansh180
Update README.md
e1197e2 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    3.51 kB
    Update README.md 4 months ago
  • config.json
    2.44 kB
    Upload folder using huggingface_hub 4 months ago
  • label_map.json
    106 Bytes
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  • model.safetensors
    378 MB
    xet
    Upload folder using huggingface_hub 4 months ago
  • preprocessor_config.json
    215 Bytes
    Upload folder using huggingface_hub 4 months ago