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halcyonzhou
/
wav2vec2-base

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

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

  • Libraries
  • Transformers

    How to use halcyonzhou/wav2vec2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="halcyonzhou/wav2vec2-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("halcyonzhou/wav2vec2-base")
    model = AutoModelForCTC.from_pretrained("halcyonzhou/wav2vec2-base")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base / runs
36.6 kB
Ctrl+K
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  • 1 contributor
History: 9 commits
halcyonzhou's picture
halcyonzhou
End of training
aada06b verified 9 months ago
  • Aug16_18-37-48_zjh
    Training in progress, step 500 9 months ago
  • Aug16_18-41-05_zjh
    Training in progress, step 500 9 months ago
  • Aug16_18-51-07_zjh
    End of training 9 months ago