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wraps
/
whisper-small-fr

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

Instructions to use wraps/whisper-small-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wraps/whisper-small-fr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="wraps/whisper-small-fr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("wraps/whisper-small-fr")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("wraps/whisper-small-fr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-fr / runs
36.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
wraps's picture
wraps
Training in progress, step 1250
b3bf72c verified over 2 years ago
  • Apr30_18-08-25_tmp
    Training in progress, step 250 over 2 years ago
  • Apr30_18-35-39_tmp
    Training in progress, step 250 over 2 years ago
  • Apr30_21-28-41_tmp
    Training in progress, step 1250 over 2 years ago