Update README.md

README.md

@@ -87,17 +87,19 @@ embeddings = model.encode(sentences)
 # Compute similarity
 similarity = model.similarity(embeddings[0], embeddings[1])
 print(f"Similarity Score: {similarity.item():.2f}")
+```
 
+```
 SentenceTransformer(
   (0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'ModernBertModel'})
   (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_mean_tokens': True})
 )
+```
 
-
+```bibtex
 @misc{modernuzbert2026,
   author = {Orzumurod},
   title = {ModernUzBERT: Advanced Semantic Embeddings for the Uzbek Language},
-  year = {2026},
   publisher = {Hugging Face},
   howpublished = {\url{[https://huggingface.co/Orzumurod/ModernUzBERT](https://huggingface.co/Orzumurod/ModernUzBERT)}}
 }