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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2137d5b8f66ac966ed86b4d97d70b92ee1ecf93a1f8321bede4f20da41d6bb6b
- Size of remote file:
- 2.45 GB
- SHA256:
- 730839316de585f4c8298ec0e1712efc10fb19c6fa4e36eb741cb8d51ebcf6aa
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