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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- **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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1. Install the environment and get the code
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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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- **Data:** https://huggingface.co/datasets/cmots/UniST
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## News
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⭐ We released the dataset UniST for public use in https://huggingface.co/datasets/cmots/UniST
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⭐ UniSS is accepted by ICLR 2026!
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## Quick Start
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1. Install the environment and get the code
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