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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 / language_model
489 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 1 commit
sadrasabouri's picture
sadrasabouri
add : language_model added.
1da8a1a over 3 years ago
  • 5gram.arpa
    481 MB
    xet
    add : language_model added. over 3 years ago
  • attrs.json
    78 Bytes
    add : language_model added. over 3 years ago
  • unigrams.txt
    8.58 MB
    xet
    add : language_model added. over 3 years ago