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mo-thecreator
/
Deepfake-audio-detection

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use mo-thecreator/Deepfake-audio-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mo-thecreator/Deepfake-audio-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="mo-thecreator/Deepfake-audio-detection")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("mo-thecreator/Deepfake-audio-detection")
    model = AutoModelForAudioClassification.from_pretrained("mo-thecreator/Deepfake-audio-detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Deepfake-audio-detection / runs
270 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 6 commits
Mohammed Abdeldayem
End of training
d468757 verified about 2 years ago
  • May18_00-36-33_8fdb05dffce8
    Training in progress, epoch 1 about 2 years ago
  • May18_00-40-51_8fdb05dffce8
    Training in progress, epoch 1 about 2 years ago
  • May18_00-41-14_8fdb05dffce8
    Training in progress, epoch 2 about 2 years ago
  • May18_12-31-00_276a264a9557
    End of training about 2 years ago