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
License verification for commercial use / Вопрос по лицензии
#3 opened about 1 month ago
by
verashkt
Regarding convert the phonemes
1
#2 opened over 2 years ago
by
saichand09
Regarding training issue
1
#1 opened over 2 years ago
by
saichand09