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
File size: 619 Bytes
913527e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ---
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. |