Upload README.md

README.md

@@ -1,26 +1,10 @@
-````markdown
----
-license: mit
-pipeline_tag: other
-base_model: Wan-AI/Wan2.2-TI2V-5B
-tags:
-  - pytorch
-  - autonomous-driving
-  - end-to-end-autonomous-driving
-  - world-action-model
-  - trajectory-planning
-  - diffusion-transformer
-  - flow-matching
-  - reinforcement-learning
-  - navsim
----
 
 <h1 align="center">SimWAM: A Simple World Action Model for End-to-End Autonomous Driving</h1>
 
 <div align="center">
   <a href="https://github.com/H-EmbodVis/SimWAM"><img src="https://img.shields.io/badge/GitHub-Repository-green?logo=github" alt="GitHub repository"></a>
   <a href="https://huggingface.co/H-EmbodVis/SimWAM"><img src="https://img.shields.io/badge/Hugging%20Face-Model-yellow?logo=huggingface" alt="Hugging Face model"></a>
-  <a href="https://github.com/H-EmbodVis/SimWAM/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-blue" alt="MIT License"></a>
+
 
   <h5>
     <em>
@@ -246,5 +230,4 @@ If you find SimWAM useful in your research, please consider citing:
   journal = {arXiv preprint},
   year    = {2026}
 }
-```
-````
+```