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guynich
/
distil-whisper-large-v2-hi

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

Instructions to use guynich/distil-whisper-large-v2-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use guynich/distil-whisper-large-v2-hi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="guynich/distil-whisper-large-v2-hi")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("guynich/distil-whisper-large-v2-hi")
    model = AutoModelForMultimodalLM.from_pretrained("guynich/distil-whisper-large-v2-hi")
  • Notebooks
  • Google Colab
  • Kaggle
distil-whisper-large-v2-hi / distil-whisper
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  • 1 contributor
History: 5 commits
guynich's picture
guynich
Saving train state of step 5000
d009069 over 2 years ago
  • events.out.tfevents.1707947461.Precision5820.23636.0
    88 Bytes
    xet
    Saving train state of step 1000 over 2 years ago
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    88 Bytes
    xet
    Saving train state of step 1000 over 2 years ago
  • events.out.tfevents.1707947781.Precision5820.38469.0
    88 Bytes
    xet
    Saving train state of step 1000 over 2 years ago
  • events.out.tfevents.1707947850.Precision5820.38880.0
    88 Bytes
    xet
    Saving train state of step 1000 over 2 years ago
  • events.out.tfevents.1707948010.Precision5820.39471.0
    63.4 kB
    xet
    Saving train state of step 5000 over 2 years ago