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zh-plus
/
faster-whisper-large-v2-japanese-5k-steps

Automatic Speech Recognition
Transformers
PyTorch
Japanese
faster-whisper
whisper
CTranslate2
Model card Files Files and versions
xet
Community
3

Instructions to use zh-plus/faster-whisper-large-v2-japanese-5k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zh-plus/faster-whisper-large-v2-japanese-5k-steps with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="zh-plus/faster-whisper-large-v2-japanese-5k-steps")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("zh-plus/faster-whisper-large-v2-japanese-5k-steps", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
faster-whisper-large-v2-japanese-5k-steps
3.09 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
zh-plus's picture
zh-plus
Update README.md
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  • .gitattributes
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  • config.json
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  • model.bin
    3.09 GB
    xet
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  • vocabulary.json
    1.07 MB
    Upload model. about 3 years ago