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aconeil
/
w2v2-lmk_augmented

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use aconeil/w2v2-lmk_augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aconeil/w2v2-lmk_augmented with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="aconeil/w2v2-lmk_augmented")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("aconeil/w2v2-lmk_augmented")
    model = AutoModelForCTC.from_pretrained("aconeil/w2v2-lmk_augmented")
  • Notebooks
  • Google Colab
  • Kaggle
w2v2-lmk_augmented / runs
36.1 kB
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  • 1 contributor
History: 10 commits
aconeil's picture
aconeil
End of training
d588f9c verified 8 months ago
  • Nov21_19-03-14_x1001c1s7b0n1
    End of training 8 months ago