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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: SenSE
datasets:
- amphion/Emilia-Dataset
tags:
- transformers
- pytorch
Download SenSE 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