Audio-to-Audio
Transformers
Safetensors
English
Chinese
qwen2
text-generation
text-generation-inference
Instructions to use cmots/UniSS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmots/UniSS with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cmots/UniSS") model = AutoModelForCausalLM.from_pretrained("cmots/UniSS") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Model Sources
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- **Repository:** https://github.com/cmots/UniSS
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- **Paper:**
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- **Demo:** https://cmots.github.io/uniss-demo
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## Quick Start
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## Citation
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If you find our paper and code useful in your research, please consider giving a like and citation.
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```bibtex
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```
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### Model Sources
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- **Repository:** https://github.com/cmots/UniSS
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- **Paper:** https://arxiv.org/pdf/2509.21144
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- **Demo:** https://cmots.github.io/uniss-demo
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## Quick Start
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## Citation
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If you find our paper and code useful in your research, please consider giving a like and citation.
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```bibtex
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@misc{cheng2025uniss_s2st,
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title={UniSS: Unified Expressive Speech-to-Speech Translation with Your Voice},
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author={Sitong Cheng and Weizhen Bian and Xinsheng Wang and Ruibin Yuan and Jianyi Chen and Shunshun Yin and Yike Guo and Wei Xue},
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year={2025},
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eprint={2509.21144},
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archivePrefix={arXiv},
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primaryClass={cs.SD},
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url={https://arxiv.org/abs/2509.21144},
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}
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```
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