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facebook
/
mms-tts-mon

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-mon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="facebook/mms-tts-mon")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-mon")
    model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-mon", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Fix vocab.json: rename ѳ/щ to ө/ш (U+04E9, U+0448)

#2 opened about 1 month ago by
nugjii

Tokenizer silently drops ө (U+04E9) and ш (U+0448) — most Mongolian text is corrupted on input

#1 opened about 1 month ago by
nugjii
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