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rafaym
/
urdu_speech_tt

Text-to-Audio
Transformers
TensorBoard
Safetensors
speecht5
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use rafaym/urdu_speech_tt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="rafaym/urdu_speech_tt")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("rafaym/urdu_speech_tt")
    model = AutoModelForTextToSpectrogram.from_pretrained("rafaym/urdu_speech_tt")
  • Notebooks
  • Google Colab
  • Kaggle
urdu_speech_tt / runs
22.5 kB
Ctrl+K
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  • 1 contributor
History: 12 commits
rafaym's picture
rafaym
Training in progress, step 700
2b02288 over 2 years ago
  • Dec21_10-23-57_a9d42ef4663e
    Training in progress, step 500 over 2 years ago
  • Dec21_11-31-19_368c4f5474f7
    Training in progress, step 700 over 2 years ago