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microsoft
/
paza-whisper-large-v3-turbo

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
whisper
audio
Model card Files Files and versions
xet
Community

Instructions to use microsoft/paza-whisper-large-v3-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/paza-whisper-large-v3-turbo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="microsoft/paza-whisper-large-v3-turbo")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("microsoft/paza-whisper-large-v3-turbo")
    model = AutoModelForMultimodalLM.from_pretrained("microsoft/paza-whisper-large-v3-turbo")
  • Notebooks
  • Google Colab
  • Kaggle
paza-whisper-large-v3-turbo / figures
950 kB
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  • 2 contributors
History: 1 commit
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KevChege
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