Update README.md

README.md

@@ -44,11 +44,22 @@ tokenizer = RobertaTokenizer.from_pretrained('dsfsi/PuoBERTa')
  
 ### Downstream Use 
 
-
 ## Dataset
 
 We used the PuoData dataset, a rich source of Setswana text, ensuring that our model is well-trained and culturally attuned.\\
 
+### Citation Information
+
+Bibtex Refrence
+
+```
+@article{marivatePuoBERTa2023,
+  title={PuoBERTa: Training and evaluation of a curated language model for Setswana},
+  author={Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},
+  journal={ArXiv},
+}
+```
+
 ## Contributing
 
 Your contributions are welcome! Feel free to improve the model.