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Dev372
/
output_model_dir

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

Instructions to use Dev372/output_model_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dev372/output_model_dir with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Dev372/output_model_dir")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Dev372/output_model_dir")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Dev372/output_model_dir", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
output_model_dir / runs
237 kB
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  • 1 contributor
History: 1 commit
Dev372's picture
Dev372
End of training
ac924e0 verified over 2 years ago
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