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ninja
/
frandy

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use ninja/frandy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ninja/frandy")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ninja/frandy")
    model = AutoModelForCTC.from_pretrained("ninja/frandy")
  • Notebooks
  • Google Colab
  • Kaggle
frandy / runs
12 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ninja's picture
ninja
End of training
0360cfb about 3 years ago
  • Mar28_21-02-20_7cc3560eebb1
    End of training about 3 years ago