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Kuray107
/
3-datasets-100h-supervised-aug

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use Kuray107/3-datasets-100h-supervised-aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Kuray107/3-datasets-100h-supervised-aug with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Kuray107/3-datasets-100h-supervised-aug")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Kuray107/3-datasets-100h-supervised-aug")
    model = AutoModelForCTC.from_pretrained("Kuray107/3-datasets-100h-supervised-aug")
  • Notebooks
  • Google Colab
  • Kaggle
3-datasets-100h-supervised-aug
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 27 commits
Kuray107's picture
Kuray107
End of training
ecb0dce about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 about 4 years ago
  • config.json
    2.1 kB
    Training in progress, step 1000 about 4 years ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 1000 about 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    End of training about 4 years ago
  • training_args.bin
    3.06 kB
    xet
    Training in progress, step 1000 about 4 years ago