Update README.md

README.md

@@ -44,4 +44,8 @@ Gemma-2-9b, fine-tuned for Named Entity Recognition (NER), identifies entities s
 
 ## Evaluation
 
-Evaluated on the SURESHBEEKHANI/Named_entity_recognition dataset, the model successfully identified entities like PERSON, LOCATION, and ORGANIZATION. It supports up to 2048 tokens of input text for large document processing.
+Evaluated on the SURESHBEEKHANI/Named_entity_recognition dataset, the model successfully identified entities like PERSON, LOCATION, and ORGANIZATION. It supports up to 2048 tokens of input text for large document processing.
+
+## Notebook
+
+Access the implementation notebook for this model [here](https://github.com/SURESHBEEKHANI/Advanced-LLM-Fine-Tuning/blob/main/Finetune_Gemma_NRE.ipynb). This notebook provides detailed steps for fine-tuning and deploying the model.