Edit model card

DALE

This model is created as part of the EMNLP 2023 paper: DALE: Generative Data Augmentation for Low-Resource Legal NLP. The code for the git repo can be found here.

BibTeX entry and citation info

If you find our paper/code/demo useful, please cite our paper:

@misc{ghosh2023dale,
title={DALE: Generative Data Augmentation for Low-Resource Legal NLP},
author={Sreyan Ghosh and Chandra Kiran Evuru and Sonal Kumar and S Ramaneswaran and S Sakshi and Utkarsh Tyagi and Dinesh Manocha},
year={2023},
eprint={2310.15799},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Downloads last month
2
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.