Update README.md

README.md

@@ -1,18 +1,26 @@
----
-license: mit
----
-
-This repository contains the checkpoint for the corruptor of LIFE, which is trained with gold evidence. Please refer to the code of LIFE at https://github.com/NLPCode/LIFE for more details.
-
-If you want to use this model in your research, please cite our [paper](https://ojs.aaai.org/index.php/AAAI/article/view/29778/):
-```bash
-
-@inproceedings{he2024improving,
-  title={Improving Factual Error Correction by Learning to Inject Factual Errors},
-  author={He, Xingwei and Zhang, Qianru and Jin, A-Long and Ma, Jun and Yuan, Yuan and Yiu, Siu Ming},
-  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
-  volume={38},
-  number={16},
-  pages={18197--18205},
-  year={2024}
+---
+license: mit
+---
+
+This repository contains the checkpoint for the corruptor of LIFE, which is trained with gold evidence. Please refer to the code of LIFE at https://github.com/NLPCode/LIFE for more details.
+## Usage
+  ```
+  # Load the model
+  from transformers import  AutoConfig, AutoModelForSeq2SeqLM, AutoTokenizer   
+  tokenizer = AutoTokenizer.from_pretrained("He-Xingwei/LIFE-Corruptor-GE")  
+  model = AutoModelForSeq2SeqLM.from_pretrained("He-Xingwei/LIFE-Corruptor-GE")   
+  ```
+
+## Citation
+If you want to use this model in your research, please cite our [paper](https://ojs.aaai.org/index.php/AAAI/article/view/29778/):
+```bash
+
+@inproceedings{he2024improving,
+  title={Improving Factual Error Correction by Learning to Inject Factual Errors},
+  author={He, Xingwei and Zhang, Qianru and Jin, A-Long and Ma, Jun and Yuan, Yuan and Yiu, Siu Ming},
+  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
+  volume={38},
+  number={16},
+  pages={18197--18205},
+  year={2024}
 }