Update README.md

README.md

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 ESM2-GBT: Gradient Boosted Trees on ESM2 Embeddings
 
 📌 Model Overview
-The ESM2-GBT model is a Gradient Boosted Trees (GBT) regressor trained on ESM2 embeddings from Meta’s ESM2 protein language model. It is designed for protein-related predictive tasks.
+The ESM2-GBT model is a Gradient Boosted Trees (GBT) regressor trained on ESM2 embeddings from Meta’s ESM2 protein language model. It is designed for binding affinity predictive tasks.
 
 
 🧪 Available Models:
 Model Name	Description
-ACE2_RBD_ESM2-GBT.json	Predicts binding affinity between ACE2 and RBD proteins.
-General_ESM2-GBT.json	General-purpose GBT model trained on ESM2 embeddings.
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+ACE2_RBD_ESM2-GBT.json	 
+
+Predicts binding affinity between ACE2 and RBD proteins.
+
+General_ESM2-GBT.json	
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+General-purpose GBT model trained on ESM2 embeddings.
 
 
 🏗 Model Details