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CheeLi03
/
whisper-tiny-nl-puct-4k

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Dutch
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use CheeLi03/whisper-tiny-nl-puct-4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CheeLi03/whisper-tiny-nl-puct-4k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="CheeLi03/whisper-tiny-nl-puct-4k")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("CheeLi03/whisper-tiny-nl-puct-4k")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("CheeLi03/whisper-tiny-nl-puct-4k", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-nl-puct-4k
157 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
CheeLi03's picture
CheeLi03
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  • normalizer.json
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  • preprocessor_config.json
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