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HuyenNguyen
/
Wav2vec

Automatic Speech Recognition
Transformers
PyTorch
speech-encoder-decoder
Model card Files Files and versions
xet
Community

Instructions to use HuyenNguyen/Wav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HuyenNguyen/Wav2vec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="HuyenNguyen/Wav2vec")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq
    
    tokenizer = AutoTokenizer.from_pretrained("HuyenNguyen/Wav2vec")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("HuyenNguyen/Wav2vec")
  • Notebooks
  • Google Colab
  • Kaggle
Wav2vec
979 kB
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  • 1 contributor
History: 3 commits
HuyenNguyen's picture
HuyenNguyen
Update README.md
e4adfe4 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    0 Bytes
    Update README.md almost 2 years ago
  • config.json
    6.7 kB
    Upload 10 files almost 2 years ago
  • dict.txt
    360 kB
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  • generation_config.json
    191 Bytes
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  • preprocessor_config.json
    256 Bytes
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  • pytorch_model.bin
    135 Bytes
    xet
    Upload 10 files almost 2 years ago
  • sample_news.wav
    609 kB
    Upload 10 files almost 2 years ago
  • sentencepiece.bpe.model
    132 Bytes
    xet
    Upload 10 files almost 2 years ago
  • special_tokens_map.json
    279 Bytes
    Upload 10 files almost 2 years ago
  • tokenizer_config.json
    468 Bytes
    Upload 10 files almost 2 years ago