Update README.md

README.md

@@ -1,3 +1,27 @@
----
-license: mit
----
+---
+language: 
+- en
+pipeline_tag: text-classification
+library_name: transformers
+tags:
+- legal
+- bert
+- sequence-classification
+- indian-law
+model_type: bert
+---
+
+# LegalBertNew — Indian Legal Judgment Classification Model
+
+This is a fine-tuned BERT model for binary legal judgment prediction (Guilty / Not Guilty) based on Indian case facts.  
+The model takes raw case text as input and outputs a classification label along with confidence scores.
+
+## ## How to Use
+
+```python
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="negi2725/LegalBertNew")
+
+result = classifier("The accused was found with stolen property.")
+print(result)