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prows12
/
wav2vec2-base-timit-demo-test_jong

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

Instructions to use prows12/wav2vec2-base-timit-demo-test_jong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prows12/wav2vec2-base-timit-demo-test_jong with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="prows12/wav2vec2-base-timit-demo-test_jong")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("prows12/wav2vec2-base-timit-demo-test_jong")
    model = AutoModelForCTC.from_pretrained("prows12/wav2vec2-base-timit-demo-test_jong", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • README.md
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin
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  • tokenizer_config.json
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  • training_args.bin
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  • vocab.json
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