Add GitHub code link to model card

README.md

@@ -1,12 +1,12 @@
 ---
-license: mit
+base_model:
+- declare-lab/nora-long
 datasets:
 - TomNickson/OpenX-Embodiment
 - jxu124/OpenX-Embodiment
 language:
 - en
-base_model:
-- declare-lab/nora-long
+license: mit
 pipeline_tag: robotics
 ---
 
@@ -15,6 +15,7 @@ pipeline_tag: robotics
 [![Project Website](https://img.shields.io/badge/Project-Website-blue.svg)](https://declare-lab.github.io/nora-1.5)
 [![Model](https://img.shields.io/badge/Model-NORA--1.5-brightgreen)](https://huggingface.co/declare-lab/nora-1.5)
 [![arXiv](https://img.shields.io/badge/arXiv-2511.14659-b31b1b.svg)](https://arxiv.org/abs/2511.14659)
+[![Code](https://img.shields.io/badge/GitHub-Code-black.svg?logo=github)](https://github.com/declare-lab/nora-1.5)
 ![Status](https://img.shields.io/badge/Status-Active-orange)
 
 🔥 Project NORA is supported by Gemini and Lambda Labs! We are thankful to them.
@@ -67,7 +68,7 @@ outputs = model.sample_actions(PIL IMAGE,instruction,num_steps=10) ## Outputs 7
 @article{hung2025nora15,
   title={NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-Based Preference Rewards},
   author={Hung, Chia-Yu and Majumder, Navonil and Deng, Haoyuan, Liu Renhang, Yankang Ang, Amir Zadeh, Chuan Li, Dorien Herremans, Ziwei Wang, and Soujanya Poria},
-  journal={arXiv preprint},
+  journal={arXiv preprint},\
   year={2025}
 }
 ```