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@@ -133,7 +133,6 @@ def predict_sentiment(text):
     embedding = normalize([embedding])[0]
-    # Your quantum kernel logic here
     return sentiment
 ```
@@ -204,7 +203,7 @@ If you use this model in your research, please cite:
   author={squ11z1},
   year={2025},
   publisher={Hugging Face},
-  howpublished={\url{https://huggingface.co/squ11z1/chronos-1.5b}}
 }
 ```

     embedding = normalize([embedding])[0]
     return sentiment
 ```
   author={squ11z1},
   year={2025},
   publisher={Hugging Face},
+  howpublished={\url{https://huggingface.co/squ11z1/Chronos-1.5b}}
 }
 ```