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khanhld
/
wav2vec2-base-vietnamese-160h

Automatic Speech Recognition
Transformers
PyTorch
Vietnamese
wav2vec2
audio
speech
Transformer
vietnamese
Eval Results (legacy)
Model card Files Files and versions
xet

Instructions to use khanhld/wav2vec2-base-vietnamese-160h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use khanhld/wav2vec2-base-vietnamese-160h with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="khanhld/wav2vec2-base-vietnamese-160h")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("khanhld/wav2vec2-base-vietnamese-160h")
    model = AutoModelForCTC.from_pretrained("khanhld/wav2vec2-base-vietnamese-160h")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-vietnamese-160h
378 MB
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  • 2 contributors
History: 44 commits
khanhld's picture
khanhld
Update README.md
529594a verified over 1 year ago
  • examples
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  • .gitattributes
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  • README.md
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin
    378 MB
    xet
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • vocab.json
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