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susmitabhatt
/
superb-wav2vec2

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

Instructions to use susmitabhatt/superb-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use susmitabhatt/superb-wav2vec2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="susmitabhatt/superb-wav2vec2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("susmitabhatt/superb-wav2vec2")
    model = AutoModelForCTC.from_pretrained("susmitabhatt/superb-wav2vec2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
superb-wav2vec2 / runs
52.8 kB
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  • 1 contributor
History: 75 commits
susmitabhatt's picture
susmitabhatt
End of training
ee1fbab verified almost 2 years ago
  • Sep10_11-15-09_f9fcc37e02e9
    Training in progress, step 50 almost 2 years ago
  • Sep10_11-31-36_f1ddc92f9190
    End of training almost 2 years ago