Update README.md

README.md

@@ -4,6 +4,8 @@ language:
 library_name: transformers
 pipeline_tag: token-classification
 ---
+# Korean Spacing Model
+KLUE에서 개발한 RoBERTa를 활용하여 만든 한국어 띄어쓰기 모델입니다.
 
 ```python
 import torch
@@ -33,4 +35,15 @@ for char_idx, spc_idx in enumerate(pred_idx.squeeze()[1:-1]):
 
 print(pred_sent.strip())
 # '탄소중립과 ESG 경영에 대한 사회적 요구 확대'
+```
+
+```bibtex
+@misc{park2021klue,
+      title={KLUE: Korean Language Understanding Evaluation},
+      author={Sungjoon Park and Jihyung Moon and Sungdong Kim and Won Ik Cho and Jiyoon Han and Jangwon Park and Chisung Song and Junseong Kim and Yongsook Song and Taehwan Oh and Joohong Lee and Juhyun Oh and Sungwon Lyu and Younghoon Jeong and Inkwon Lee and Sangwoo Seo and Dongjun Lee and Hyunwoo Kim and Myeonghwa Lee and Seongbo Jang and Seungwon Do and Sunkyoung Kim and Kyungtae Lim and Jongwon Lee and Kyumin Park and Jamin Shin and Seonghyun Kim and Lucy Park and Alice Oh and Jungwoo Ha and Kyunghyun Cho},
+      year={2021},
+      eprint={2105.09680},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
 ```