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amithm3
/
whisper-medium

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

Instructions to use amithm3/whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amithm3/whisper-medium with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="amithm3/whisper-medium")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("amithm3/whisper-medium")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("amithm3/whisper-medium")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium / runs
165 kB
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  • 1 contributor
History: 3 commits
amithm3's picture
amithm3
End of training
bf580f2 verified almost 2 years ago
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    End of training almost 2 years ago
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    End of training almost 2 years ago