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thomas0104
/
whisper-large-v2-nan-tw-only-char

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Chinese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use thomas0104/whisper-large-v2-nan-tw-only-char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thomas0104/whisper-large-v2-nan-tw-only-char with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="thomas0104/whisper-large-v2-nan-tw-only-char")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("thomas0104/whisper-large-v2-nan-tw-only-char")
    model = AutoModelForMultimodalLM.from_pretrained("thomas0104/whisper-large-v2-nan-tw-only-char")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-v2-nan-tw-only-char
1.48 kB
Ctrl+K
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  • 4 contributors
History: 1 commit
thomas0104's picture
thomas0104
initial commit
9e2403f over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago