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Aspik101
/
distil-whisper-large-v3-pl

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Transformers.js
Polish
whisper
audio
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use Aspik101/distil-whisper-large-v3-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aspik101/distil-whisper-large-v3-pl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Aspik101/distil-whisper-large-v3-pl")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Aspik101/distil-whisper-large-v3-pl")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Aspik101/distil-whisper-large-v3-pl", device_map="auto")
  • Transformers.js

    How to use Aspik101/distil-whisper-large-v3-pl with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('automatic-speech-recognition', 'Aspik101/distil-whisper-large-v3-pl');
  • Notebooks
  • Google Colab
  • Kaggle
distil-whisper-large-v3-pl / distil-whisper
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  • 1 contributor
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Aspik101
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