Update README.md

README.md

@@ -1,23 +1,23 @@
----
-task_categories:
-- robotics
-datasets:
-- USC-GVL/Humanoid-X
-pipeline_tag: robotics
----
+---
+task_categories:
+- robotics
+datasets:
+- USC-GVL/Humanoid-X
+pipeline_tag: robotics
+---
 
 <div align="center">
 <h1> <img src="assets/icon.png" width="50" /> UH-1 </h1>
 </div>
 <h5 align="center">
-    <a href="https://usc-gvl.github.io/UH-1/">🌐 Homepage</a> | <a href="https://huggingface.co/datasets/USC-GVL/Humanoid-X">⛁ Dataset</a> | <a href="https://huggingface.co/datasets/USC-GVL/UH-1">🤗 Models</a> | <a href="">📑 Paper</a> | <a href="">💻 Code</a>
+    <a href="https://usc-gvl.github.io/UH-1/">🌐 Homepage</a> | <a href="https://huggingface.co/datasets/USC-GVL/Humanoid-X">⛁ Dataset</a> | <a href="https://huggingface.co/datasets/USC-GVL/UH-1">🤗 Models</a> | <a href="">📑 Paper</a> | <a href="https://github.com/sihengz02/UH-1">💻 Code</a>
 </h5>
 
 
 This repo contains the officail model checkpoints for the paper "[Learning from Massive Human Videos for Universal Humanoid Pose Control]()"
 If you like our project, please give us a star ⭐ on GitHub for latest update.
 
-Our model checkpoints contain a transformer model `UH1_Transformer.pth` and an action tokenizer `UH1_Action_Tokenizer.pth`. For the usage/inference of these models, please refer to the [codes]() here.
+Our model checkpoints contain a transformer model `UH1_Transformer.pth` and an action tokenizer `UH1_Action_Tokenizer.pth`. For the usage/inference of these models, please refer to the [codes](https://github.com/sihengz02/UH-1) here.
 
 ![Alt text](assets/teaser.png)