Instructions to use cortexsgea/sonus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cortexsgea/sonus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="cortexsgea/sonus")# Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("cortexsgea/sonus", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de958080b31f91278c16378b08dcbb8191321719065a32399b5e5ec663a790ec
- Size of remote file:
- 11.4 MB
- SHA256:
- 408f669b7e2b045fdf54201d815bd364e6667dbd845115da81239c40bc6dcfd1
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