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frappuccino
/
vits2_ru_natasha

Text-to-Speech
Transformers
ONNX
Russian
Model card Files Files and versions
xet
Community
3

Instructions to use frappuccino/vits2_ru_natasha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use frappuccino/vits2_ru_natasha with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="frappuccino/vits2_ru_natasha")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("frappuccino/vits2_ru_natasha", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vits2_ru_natasha
722 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
frappuccino's picture
frappuccino
Update README.md
ba8fe76 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • G_138000.pth
    565 MB
    xet
    Upload 3 files almost 3 years ago
  • README.md
    3.89 kB
    Update README.md about 2 years ago
  • config.json
    1.77 kB
    Upload 3 files almost 3 years ago
  • natasha.onnx
    157 MB
    xet
    Upload 2 files over 2 years ago
  • symbols.py
    465 Bytes
    Upload 2 files over 2 years ago