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biodatlab
/
distill-whisper-th-medium

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

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

  • Libraries
  • Transformers

    How to use biodatlab/distill-whisper-th-medium with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="biodatlab/distill-whisper-th-medium")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("biodatlab/distill-whisper-th-medium")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("biodatlab/distill-whisper-th-medium", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distill-whisper-th-medium
967 MB
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  • 2 contributors
History: 7 commits
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kimmchii
Update README.md
76a1b22 verified 5 months ago
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