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JunWorks
/
Quantized_4bit_WhisperSmallOri

Automatic Speech Recognition
Transformers
Safetensors
whisper
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use JunWorks/Quantized_4bit_WhisperSmallOri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JunWorks/Quantized_4bit_WhisperSmallOri with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="JunWorks/Quantized_4bit_WhisperSmallOri")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("JunWorks/Quantized_4bit_WhisperSmallOri")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("JunWorks/Quantized_4bit_WhisperSmallOri")
  • Notebooks
  • Google Colab
  • Kaggle
Quantized_4bit_WhisperSmallOri
1.52 kB
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  • 1 contributor
History: 1 commit
JunWorks's picture
JunWorks
initial commit
3f24dfd verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago