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xTorch8
/
mms-id-asr

Automatic Speech Recognition
Transformers
Safetensors
Indonesian
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use xTorch8/mms-id-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xTorch8/mms-id-asr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="xTorch8/mms-id-asr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("xTorch8/mms-id-asr")
    model = AutoModelForCTC.from_pretrained("xTorch8/mms-id-asr")
  • Notebooks
  • Google Colab
  • Kaggle
mms-id-asr
3.86 GB
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  • 1 contributor
History: 5 commits
xTorch8's picture
xTorch8
Update README.md
a82fc16 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.54 kB
    Update README.md 11 months ago
  • added_tokens.json
    34 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • config.json
    2.15 kB
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  • model.safetensors
    3.86 GB
    xet
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  • preprocessor_config.json
    266 Bytes
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  • special_tokens_map.json
    578 Bytes
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  • tokenizer_config.json
    1.18 kB
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  • vocab.json
    339 Bytes
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