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XINGWEILIN
/
whisper-ko

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use XINGWEILIN/whisper-ko with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="XINGWEILIN/whisper-ko")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("XINGWEILIN/whisper-ko")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("XINGWEILIN/whisper-ko")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-ko
151 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
XINGWEILIN's picture
XINGWEILIN
Round 1 update
0959e76 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Round 1 update over 1 year ago
  • config.json
    1.43 kB
    Round 1 update over 1 year ago
  • generation_config.json
    3.99 kB
    Round 1 update over 1 year ago
  • model.safetensors
    151 MB
    xet
    Round 1 update over 1 year ago