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isaacm
/
wav2vec2-base-timit-eng

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 isaacm/wav2vec2-base-timit-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use isaacm/wav2vec2-base-timit-eng with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="isaacm/wav2vec2-base-timit-eng")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("isaacm/wav2vec2-base-timit-eng")
    model = AutoModelForCTC.from_pretrained("isaacm/wav2vec2-base-timit-eng", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-timit-eng / runs
24.1 kB
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  • 1 contributor
History: 7 commits
isaacm's picture
isaacm
wav2vec2-base-timit-eng
889ab5c over 3 years ago
  • Jan17_19-02-00_d61642928e61
    wav2vec2-base-timit-eng over 3 years ago
  • Jan18_17-38-24_c29f8fae6faf
    wav2vec2-base-timit-eng over 3 years ago