Update README.md

README.md

@@ -51,7 +51,7 @@ This approach enables the model to capture both semantic alignment between text
 - **Repository:** [GitHub](https://github.com/Hidden-States-AI-Labs/EmoAxis)
 - **Research Paper:** [Do We Need a Classifier? Dual Objectives Go Beyond Baselines in Fine-Grained Emotion Classification.](https://zenodo.org/records/18123882?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjhjNmQwMTYzLWFiYzEtNDBiZi05NTFkLTI2Mzg1YzhiYThhZSIsImRhdGEiOnt9LCJyYW5kb20iOiI5MDE1MDM1MTYxMTg1MzEyMTY3ZmY2YzNmY2NlYTM4OSJ9.JgOX4GlmZ8ad-PtjytzioPUPSJSGYp8wochqpTgMO78SE1oBq9R6yUor2_36oOaSUO04OPP0MJqBiYK0JK0NHA)
 
-Also checkout our other models trained on [EmoPillars](https://huggingface.co/Hidden-States/roberta-base-emopillars-contextless) and [SemEval-18-Task-1C](https://huggingface.co/Hidden-States/roberta-base-semeval) datasets.
+🎯 Also checkout our other models trained on [EmoPillars](https://huggingface.co/Hidden-States/roberta-base-emopillars-contextless) and [SemEval-18-Task-1C](https://huggingface.co/Hidden-States/roberta-base-semeval) datasets.
 
 ## ✅ Intended Usage
 The model is specifically intended for **fine-grained multi-label emotion classification from text** in both practical and research settings.