Update README.md

README.md

@@ -42,7 +42,7 @@ We have fine-tuned all pre-trained models on 3 legal tasks with Indian datasets:
 * Semantic Segmentation ([ISS Dataset](https://arxiv.org/abs/1911.05405))[Sentence Tagging]: Segmenting the document into 7 functional parts (semantic segments) such as Facts, Arguments, etc.
 * Court Judgment Prediction ([ILDC Dataset](https://arxiv.org/abs/2105.13562))[Binary Text Classification]: Predicting whether the claims/petitions of a court case will be accepted/rejected
 
-InCaseLawBERT performs close to CaseLawBERT across the three tasks, but not as good as InLegalBERT. For details, see our [paper](https://arxiv.org/abs/2209.06049).
+InCaseLawBERT performs close to CaseLawBERT across the three tasks, but not as good as [InLegalBERT](https://huggingface.co/law-ai/InLegalBERT). For details, see our [paper](https://arxiv.org/abs/2209.06049).
 
 ### Citation
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