Update README.md

README.md

@@ -10,4 +10,7 @@ It generates semantically masked (lemmatized and without stopwords) sentences fo
 
 This small gpt-2 model was fine-tuned on several corpora for Serbian (augmented using Latent semantic analysis methods). 
 
-The corpora include ["The corpus of Contemporary Serbian"](https://drive.google.com/file/d/1wRgoWer6YULGCXR0zWOl1fVA6VIe1DOR), [SrpELTeC](https://drive.google.com/file/d/1RtBXyw5Cdh6y_cqbJoMlYhSwNFydBRUv) and WikiKorpus by [JeRTeh – Society for Language Resources and Technologies](https://jerteh.rs/).
+The corpora include ["The corpus of Contemporary Serbian"](https://drive.google.com/file/d/1wRgoWer6YULGCXR0zWOl1fVA6VIe1DOR), [SrpELTeC](https://drive.google.com/file/d/1RtBXyw5Cdh6y_cqbJoMlYhSwNFydBRUv) and WikiKorpus by [JeRTeh – Society for Language Resources and Technologies](https://jerteh.rs/).
+
+<b style="color:red">This model is purely experimental! For actual models for Serbian see <a href="https://huggingface.co/jerteh/gpt2-orao" style="color:blue;font-weight:bold">GPT2-ORAO</a> and <a style="color:blue;font-weight:bold" href="https://huggingface.co/jerteh/gpt2-orao">GPT2-VRABAC</a></b>
+<br/><b>If you use this model for your reseach please cite:  [https://doi.org/10.3390/math11224660](https://doi.org/10.3390/math11224660)</b>