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SamuelHarner
/
whisper

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use SamuelHarner/whisper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="SamuelHarner/whisper")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("SamuelHarner/whisper")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("SamuelHarner/whisper")
  • Notebooks
  • Google Colab
  • Kaggle
whisper / common_voice /test
4.87 GB
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  • 1 contributor
History: 1 commit
SamuelHarner's picture
SamuelHarner
End of training
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