Update README.md

README.md

@@ -26,14 +26,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 *   This document provides guidance on getting started with `tuandunghcmut/Qwen25_Coder_MultipleChoice_v4`, a model fine-tuned for multiple-choice coding questions.
 
-*   The current repository of this project is at [https://github.com/tuandunghcmut/Small-Qwen-Coding-Multiple-Choice](https://github.com/tuandunghcmut/Small-Qwen-Coding-Multiple-Choice).
+*   The current repository of this project is at [https://github.com/tuandung222/Small-Qwen-Coding-Multiple-Choice](https://github.com/tuandunghcmut/Small-Qwen-Coding-Multiple-Choice).
 
 *   The dataset has been used for training is at [https://huggingface.co/datasets/tuandunghcmut/coding-mcq-reasoning](https://huggingface.co/datasets/tuandunghcmut/coding-mcq-reasoning).
 
 <!-- /workspace/Small-Qwen-Coding-Multiple-Choice/notebooks/inference_examples.ipynb -->
 *   A demonstration notebook is available on Google Colab (click the badge below). Please note that the training code has been omitted from this notebook. It is intended solely for testing and inference using the latest checkpoint.
-    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tuandunghcmut/Small-Qwen-Coding-Multiple-Choice/blob/main/notebooks/inference_examples.ipynb)
-    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tuandunghcmut/Small-Qwen-Coding-Multiple-Choice/blob/main/notebooks/inference_streaming.ipynb)
+    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tuandung222/Small-Qwen-Coding-Multiple-Choice/blob/main/notebooks/inference_examples.ipynb)
+    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tuandung222/Small-Qwen-Coding-Multiple-Choice/blob/main/notebooks/inference_streaming.ipynb)
 
 * The guide below provides an explanation of the code presented in the notebook. This notebook is a compressed version of the whole project.