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MBZUAI
/
speecht5_tts_clartts_ar

Text-to-Speech
Transformers
PyTorch
Arabic
speecht5
text-to-audio
Model card Files Files and versions
xet
Community
4

Instructions to use MBZUAI/speecht5_tts_clartts_ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MBZUAI/speecht5_tts_clartts_ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="MBZUAI/speecht5_tts_clartts_ar")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("MBZUAI/speecht5_tts_clartts_ar")
    model = AutoModelForTextToSpectrogram.from_pretrained("MBZUAI/speecht5_tts_clartts_ar")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#4 opened 8 months ago by
SFconvertbot

license is correct? because of mgb2 data license does not allow non commercial by default.

#3 opened over 1 year ago by
radenmuazhuda

Adding `safetensors` variant of this model

#2 opened about 2 years ago by
SFconvertbot

Error !

#1 opened about 2 years ago by
LioSolo
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