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ibrar12
/
Synthetic-Voice-Detection

Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
Model card Files Files and versions
xet
Community

Instructions to use ibrar12/Synthetic-Voice-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ibrar12/Synthetic-Voice-Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="ibrar12/Synthetic-Voice-Detection")
    # Load model directly
    from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
    
    extractor = AutoFeatureExtractor.from_pretrained("ibrar12/Synthetic-Voice-Detection")
    model = AutoModelForAudioClassification.from_pretrained("ibrar12/Synthetic-Voice-Detection")
  • Notebooks
  • Google Colab
  • Kaggle
Synthetic-Voice-Detection
345 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ibrar12's picture
ibrar12
Upload feature extractor
262f242 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload ASTForAudioClassification 11 months ago
  • config.json
    791 Bytes
    Upload ASTForAudioClassification 11 months ago
  • model.safetensors
    345 MB
    xet
    Upload ASTForAudioClassification 11 months ago
  • preprocessor_config.json
    297 Bytes
    Upload feature extractor 11 months ago