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facebook
/
mms-tts-ukr

Text-to-Speech
Transformers
PyTorch
Safetensors
vits
text-to-audio
mms
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use facebook/mms-tts-ukr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="facebook/mms-tts-ukr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-ukr")
    model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-ukr")
  • Notebooks
  • Google Colab
  • Kaggle
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RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got torch.FloatTensor instead

#1 opened over 1 year ago by
retif
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