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EricChang
/
Taiwanese-Whisper

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

Instructions to use EricChang/Taiwanese-Whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EricChang/Taiwanese-Whisper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="EricChang/Taiwanese-Whisper")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("EricChang/Taiwanese-Whisper")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("EricChang/Taiwanese-Whisper", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Taiwanese-Whisper
970 MB
Ctrl+K
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  • 2 contributors
History: 10 commits
EricChang's picture
EricChang
Update README.md
ec89a9d over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
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  • added_tokens.json
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  • config.json
    1.97 kB
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    339 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    967 MB
    xet
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  • special_tokens_map.json
    2.08 kB
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  • tokenizer.json
    2.2 MB
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  • tokenizer_config.json
    818 Bytes
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  • vocab.json
    1.04 MB
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