Instructions to use ASLP-lab/SenSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASLP-lab/SenSE with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ASLP-lab/SenSE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: SenSE | |
| datasets: | |
| - amphion/Emilia-Dataset | |
| tags: | |
| - transformers | |
| - pytorch | |
| Download [SenSE](https://huggingface.co/ASLP-lab/SenSE/tree/main) and place under ckpts/ | |
| ``` | |
| ckpts/ | |
| SenSE_Base/ | |
| SenSE_LLM.safetensors | |
| SenSE_CFM.safetensors | |
| ``` | |
| Github: https://github.com/ASLP-lab/SenSE | |
| Paper: [SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement](https://arxiv.org/abs/2509.24708) |