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raniczan
/
wav2vec2-xls-r-300m-korean-english

Automatic Speech Recognition
Transformers
Safetensors
Korean
English
wav2vec2
ctc
korean
english
code-switching
Model card Files Files and versions
xet
Community

Instructions to use raniczan/wav2vec2-xls-r-300m-korean-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raniczan/wav2vec2-xls-r-300m-korean-english with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="raniczan/wav2vec2-xls-r-300m-korean-english")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("raniczan/wav2vec2-xls-r-300m-korean-english")
    model = AutoModelForCTC.from_pretrained("raniczan/wav2vec2-xls-r-300m-korean-english", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xls-r-300m-korean-english
1.26 GB
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  • 1 contributor
History: 4 commits
raniczan's picture
raniczan
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  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.87 kB
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  • added_tokens.json
    32 Bytes
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  • config.json
    2.04 kB
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  • model.safetensors
    1.26 GB
    xet
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  • preprocessor_config.json
    256 Bytes
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  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    1.13 kB
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  • vocab.json
    5.69 kB
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