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alvanlii
/
distil-whisper-small-cantonese

Automatic Speech Recognition
Transformers
Safetensors
Chinese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use alvanlii/distil-whisper-small-cantonese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alvanlii/distil-whisper-small-cantonese with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="alvanlii/distil-whisper-small-cantonese")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("alvanlii/distil-whisper-small-cantonese")
    model = AutoModelForMultimodalLM.from_pretrained("alvanlii/distil-whisper-small-cantonese")
  • Notebooks
  • Google Colab
  • Kaggle
distil-whisper-small-cantonese
1.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
alvanlii's picture
alvanlii
Update inference times
7ed9984 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.49 kB
    Update inference times about 2 years ago
  • added_tokens.json
    34.6 kB
    Upload 10 files about 2 years ago
  • config.json
    1.32 kB
    Upload 5 files about 2 years ago
  • generation_config.json
    300 Bytes
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  • merges.txt
    494 kB
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  • model.safetensors
    627 MB
    xet
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  • normalizer.json
    52.7 kB
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  • optimizer.bin
    1.24 GB
    xet
    Upload 5 files about 2 years ago
  • preprocessor_config.json
    339 Bytes
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  • random_states_0.pkl
    14.3 kB
    xet
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  • scheduler.bin
    1.06 kB
    xet
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  • special_tokens_map.json
    2.18 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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