Update README.md

README.md

@@ -78,6 +78,10 @@ Meet **bert-lite**—a streamlined marvel of NLP! 🎉 Designed with efficiency
 
 ---
 
+## 📜 License
+MIT License — free to use, modify, and share.
+
+
 ## 🔤 Usage Example – Masked Language Modeling (MLM)
 
 ```python
@@ -104,4 +108,38 @@ for sentence in masked_sentences:
     print(f"\nInput: {sentence}")
     predictions = mlm_pipeline(sentence)
     for pred in predictions[:3]:
-        print(f"✨ → {pred['sequence']} (score: {pred['score']:.4f})")
+        print(f"✨ → {pred['sequence']} (score: {pred['score']:.4f})")
+
+
+
+
+🔤 Masked Language Model (MLM) Demo
+Input: The robot can [MASK] the room in minutes.
+✨ → The robot can clean the room in minutes. (score: 0.3124)
+✨ → The robot can scan the room in minutes. (score: 0.1547)
+✨ → The robot can paint the room in minutes. (score: 0.0983)
+
+Input: He decided to [MASK] the project early.
+✨ → He decided to finish the project early. (score: 0.3876)
+✨ → He decided to start the project early. (score: 0.2109)
+✨ → He decided to abandon the project early. (score: 0.0765)
+
+Input: This device is [MASK] for small tasks.
+✨ → This device is perfect for small tasks. (score: 0.2458)
+✨ → This device is great for small tasks. (score: 0.1894)
+✨ → This device is useful for small tasks. (score: 0.1321)
+
+Input: The weather will [MASK] by tomorrow.
+✨ → The weather will improve by tomorrow. (score: 0.2987)
+✨ → The weather will change by tomorrow. (score: 0.1765)
+✨ → The weather will clear by tomorrow. (score: 0.1034)
+
+Input: She loves to [MASK] in the garden.
+✨ → She loves to work in the garden. (score: 0.3542)
+✨ → She loves to play in the garden. (score: 0.1986)
+✨ → She loves to relax in the garden. (score: 0.0879)
+
+Input: Please [MASK] the door before leaving.
+✨ → Please close the door before leaving. (score: 0.4673)
+✨ → Please lock the door before leaving. (score: 0.3215)
+✨ → Please open the door before leaving. (score: 0.0652)