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ctranslate2-4you
/
whisper-medium-ct2-float32

Automatic Speech Recognition
Transformers
audio
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ctranslate2-4you/whisper-medium-ct2-float32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ctranslate2-4you/whisper-medium-ct2-float32 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ctranslate2-4you/whisper-medium-ct2-float32")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ctranslate2-4you/whisper-medium-ct2-float32", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-ct2-float32
3.06 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
ctranslate2-4you's picture
ctranslate2-4you
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1f33d41 verified about 1 month ago
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  • 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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  • model.bin

    Pickle imports

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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.json
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  • tokenizer_config.json
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  • vocab.json
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  • vocabulary.json
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