Update README.md

README.md

@@ -22,7 +22,9 @@ license: other
 
 We take the instruction-tuned Flan models (trained on Academic datasets) and perform style transfer using the Alpaca dataset.
 
-We released the code for LORA fine-tuning Seq2Seq models in our medium article here: https://medium.com/vmware-data-ml-blog/lora-finetunning-of-ul-2-and-t5-models-35a08863593d
+We released the code for LORA fine-tuning Seq2Seq models along with code walkthrough medium article here:
+- https://github.com/vmware-labs/research-and-development-artificial-intelligence-lab/tree/main/instruction-tuning/peft-seq2seq
+- https://medium.com/vmware-data-ml-blog/lora-finetunning-of-ul-2-and-t5-models-35a08863593d
 
 We fine-tuned the `google/flan-ul2` model on the Alpaca dataset using [PEFT-LORA](https://huggingface.co/docs/diffusers/main/en/training/lora).