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SLPL
/
Sharif-wav2vec2

Automatic Speech Recognition
Transformers
PyTorch
Persian
wav2vec2
audio
Eval Results (legacy)
Model card Files Files and versions
xet
Community
5

Instructions to use SLPL/Sharif-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SLPL/Sharif-wav2vec2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="SLPL/Sharif-wav2vec2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("SLPL/Sharif-wav2vec2")
    model = AutoModelForCTC.from_pretrained("SLPL/Sharif-wav2vec2")
  • Notebooks
  • Google Colab
  • Kaggle
Sharif-wav2vec2
1.75 GB
Ctrl+K
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  • 4 contributors
History: 50 commits
sadrasabouri's picture
sadrasabouri
SaraSadeghi's picture
SaraSadeghi
Update README.md (#4)
1594cec verified over 2 years ago
  • language_model
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  • .gitattributes
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    update : git lfs objects ubpdated. over 3 years ago
  • README.md
    4.47 kB
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  • alphabet.json
    441 Bytes
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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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  • tokenizer_config.json
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  • vocab.json
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