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ctranslate2-4you
/
whisper-distil-large-v3.5-ct2-bfloat16

Automatic Speech Recognition
Transformers
English
audio
Model card Files Files and versions
xet
Community

Instructions to use ctranslate2-4you/whisper-distil-large-v3.5-ct2-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ctranslate2-4you/whisper-distil-large-v3.5-ct2-bfloat16 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ctranslate2-4you/whisper-distil-large-v3.5-ct2-bfloat16")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ctranslate2-4you/whisper-distil-large-v3.5-ct2-bfloat16", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-distil-large-v3.5-ct2-bfloat16
1.52 GB
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  • 1 contributor
History: 2 commits
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
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  • added_tokens.json
    34.6 kB
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  • config.json
    2.97 kB
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  • generation_config.json
    4.25 kB
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  • merges.txt
    494 kB
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  • model.bin

    Pickle imports

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    1.51 GB
    xet
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  • preprocessor_config.json
    340 Bytes
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer.json
    2.48 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    836 kB
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  • vocabulary.json
    1.12 MB
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