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rudrakshrakeshzodage
/
distil-whisper-large-v3-pytorch-q4

Automatic Speech Recognition
Transformers
Safetensors
whisper
distil-whisper
quantization
int8
4-bit precision
nf4
bitsandbytes
ctranslate2
faster-whisper
Model card Files Files and versions
xet
Community

Instructions to use rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distil-whisper-large-v3-pytorch-q4
507 MB
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  • 1 contributor
History: 6 commits
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rudrakshrakeshzodage
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