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Bedru
/
wave2vec-base-Am

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

Instructions to use Bedru/wave2vec-base-Am with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Bedru/wave2vec-base-Am with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Bedru/wave2vec-base-Am")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Bedru/wave2vec-base-Am")
    model = AutoModelForCTC.from_pretrained("Bedru/wave2vec-base-Am")
  • Notebooks
  • Google Colab
  • Kaggle
wave2vec-base-Am / runs
17.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Bedru's picture
Bedru
End of training
c43d895 verified about 1 year ago
  • Mar05_12-24-16_7ae847bbb1b0
    Training in progress, step 35 about 1 year ago
  • Mar05_12-33-03_7ae847bbb1b0
    End of training about 1 year ago