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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, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("bofenghuang/whisper-large-v3-french")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("bofenghuang/whisper-large-v3-french")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-v3-french / ctranslate2
3.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
bofenghuang's picture
bofenghuang
Add ct2 model
e0e8857 over 2 years ago
  • config.json
    2.39 kB
    Add ct2 model over 2 years ago
  • model.bin
    3.09 GB
    xet
    Add ct2 model over 2 years ago
  • preprocessor_config.json
    340 Bytes
    Add ct2 model over 2 years ago
  • tokenizer.json
    2.48 MB
    Add ct2 model over 2 years ago
  • vocabulary.json
    1.07 MB
    Add ct2 model over 2 years ago