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Cafet
/
whisper-large-final

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

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

  • Libraries
  • Transformers

    How to use Cafet/whisper-large-final with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Cafet/whisper-large-final")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Cafet/whisper-large-final")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Cafet/whisper-large-final", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-final / runs
43 kB
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  • 1 contributor
History: 9 commits
Cafet's picture
Cafet
End of training
56b8678 verified over 2 years ago
  • May07_01-43-32_39aa37ffac21
    End of training over 2 years ago