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efficient-nlp
/
teochew-whisper-medium

Automatic Speech Recognition
Transformers
PyTorch
whisper
Model card Files Files and versions
xet
Community
4

Instructions to use efficient-nlp/teochew-whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use efficient-nlp/teochew-whisper-medium with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="efficient-nlp/teochew-whisper-medium")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("efficient-nlp/teochew-whisper-medium")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("efficient-nlp/teochew-whisper-medium")
  • Notebooks
  • Google Colab
  • Kaggle
teochew-whisper-medium
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  • 1 contributor
History: 4 commits
luckyt's picture
luckyt
Fix example code for current version of huggingface
9619c90 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.37 kB
    Fix example code for current version of huggingface over 2 years ago
  • config.json
    2.29 kB
    Upload WhisperForConditionalGeneration over 2 years ago
  • generation_config.json
    3.75 kB
    Upload WhisperForConditionalGeneration over 2 years ago
  • pytorch_model.bin
    3.06 GB
    xet
    Upload WhisperForConditionalGeneration over 2 years ago