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bofenghuang
/
whisper-large-v3-french

Automatic Speech Recognition
Transformers
Safetensors
French
whisper
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use bofenghuang/whisper-large-v3-french with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-large-v3-french")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("bofenghuang/whisper-large-v3-french")
    model = AutoModelForMultimodalLM.from_pretrained("bofenghuang/whisper-large-v3-french")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

how to add add timestamp information to this model.

#4 opened 9 months ago by
li825456

MLX version

#3 opened 10 months ago by
masure

How can i fine tune that model to get better results?

👀 1
1
#2 opened about 1 year ago by
romain130492

Error unhashable type: 'dict with AutoProcessor.from_pretrained

1
#1 opened over 2 years ago by
Isabala
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