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rambaldi47
/
whisper-tiny

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rambaldi47/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rambaldi47/whisper-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rambaldi47/whisper-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("rambaldi47/whisper-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("rambaldi47/whisper-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny / runs
191 kB
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  • 1 contributor
History: 59 commits
rambaldi47's picture
rambaldi47
End of training
04cffc7 verified over 2 years ago
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