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README.md

@@ -56,6 +56,20 @@ labels = [i['label'] for i in result] # ['Negative', 'Positive']
 ```
 
 
+## Model Sources 
+- **BibTex citation:** 
+```
+@misc{SentimenTwPLGK2023,
+  author={Gajewska, Ewelina and Konat, Barbara},
+  title={PaReSTw: BERT for Sentiment Detection in Polish Language},
+  year={2023},
+  howpublished = {\url{https://huggingface.co/eevvgg/PaReS-sentimenTw-political-PL}},
+}
+```
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 ## Intended uses & limitations
 
 Sentiment detection in Polish data (fine-tuned on tweets from political domain).
@@ -82,3 +96,9 @@ It achieves the following results on the test set (10%):
            2      0.923     0.960     0.941        25
 
 
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