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Yvthyvq
/
Liujgoj-Cantonese-whisper

Automatic Speech Recognition
Transformers
Safetensors
Yue Chinese
whisper
cantonese
romanization
jyutping
asr
liujgoj
Model card Files Files and versions
xet
Community

Instructions to use Yvthyvq/Liujgoj-Cantonese-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Yvthyvq/Liujgoj-Cantonese-whisper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Yvthyvq/Liujgoj-Cantonese-whisper")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Yvthyvq/Liujgoj-Cantonese-whisper")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Yvthyvq/Liujgoj-Cantonese-whisper", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Liujgoj-Cantonese-whisper
296 MB
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  • 1 contributor
History: 17 commits
Yvthyvq's picture
Yvthyvq
Update README.md
e247dee verified 12 days ago
  • .gitattributes
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    Upload MouxZaakhdungj_wisper.xlsx 14 days ago
  • MouxZaakhdungj_wisper.xlsx
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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.safetensors
    290 MB
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  • normalizer.json
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  • preprocessor_config.json
    356 Bytes
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  • special_tokens_map.json
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
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  • vocab.json
    836 kB
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