Text-to-Speech
Transformers
Safetensors
English
multilingual
sonus
tts
voice-cloning
zero-shot
audio
speech
Instructions to use comethrusws/sonus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use comethrusws/sonus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="comethrusws/sonus")# Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("comethrusws/sonus", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| - multilingual | |
| license: custom | |
| library_name: transformers | |
| tags: | |
| - text-to-speech | |
| - tts | |
| - voice-cloning | |
| - multilingual | |
| - zero-shot | |
| - audio | |
| - speech | |
| # Sonus Model Card | |
| ## Model Details | |
| **Model Type:** Text-to-Speech synthesis | |
| **Architecture:** Diffusion language model | |
| **Parameters:** 0.6B | |
| **Languages:** 600+ | |
| ## Intended Use | |
| - Text-to-speech synthesis | |
| - Voice cloning for legitimate applications | |
| - Multilingual speech generation | |
| - Research and educational purposes | |
| ## Licensing | |
| Non-commercial use is permitted. Commercial deployments require explicit licensing. Contact inquiry@sagea.space. |