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nizarmichaud
/
whisper-large-v3-turbo-swissgerman

Automatic Speech Recognition
Transformers
German
whisper
Model card Files Files and versions
xet
Community
3

Instructions to use nizarmichaud/whisper-large-v3-turbo-swissgerman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nizarmichaud/whisper-large-v3-turbo-swissgerman with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nizarmichaud/whisper-large-v3-turbo-swissgerman")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("nizarmichaud/whisper-large-v3-turbo-swissgerman")
    model = AutoModelForMultimodalLM.from_pretrained("nizarmichaud/whisper-large-v3-turbo-swissgerman")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-v3-turbo-swissgerman
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  • 1 contributor
History: 8 commits
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nizarmichaud
Update README.md
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  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • normalizer.json
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • vocab.json
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