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mms-tts-uig-script_arabic

Text-to-Speech
Transformers
PyTorch
Safetensors
vits
text-to-audio
mms
Model card Files Files and versions
xet
Community
2

Instructions to use facebook/mms-tts-uig-script_arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/mms-tts-uig-script_arabic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="facebook/mms-tts-uig-script_arabic")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-uig-script_arabic")
    model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-uig-script_arabic")
  • Notebooks
  • Google Colab
  • Kaggle
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  • PR & discussions documentation
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Upload preprocessor_config.json

#2 opened over 1 year ago by
hosa565

You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

3
#1 opened almost 2 years ago by
aiyaqingzheng
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