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aggtamv
/
Wav2vec2Askisi

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use aggtamv/Wav2vec2Askisi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aggtamv/Wav2vec2Askisi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="aggtamv/Wav2vec2Askisi")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("aggtamv/Wav2vec2Askisi")
    model = AutoModelForCTC.from_pretrained("aggtamv/Wav2vec2Askisi")
  • Notebooks
  • Google Colab
  • Kaggle
Wav2vec2Askisi
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  • 1 contributor
History: 31 commits
aggtamv's picture
aggtamv
Update README.md
c6b2bb6 almost 4 years ago
  • README.md
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin
    1.26 GB
    xet
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • vocab.json
    285 Bytes
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  • wav2vec_notebook.ipynb
    590 kB
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