Update README.md

README.md

@@ -7,13 +7,13 @@ license: apache-2.0
 
 # Model Card for SpaceLLaVA
 
-**SpaceLLaVA** uses LoRA to fine-tune [LLaVA](https://github.com/haotian-liu/LLaVA/tree/main) on a dataset designed with [VQASynth](https://github.com/remyxai/VQASynth/tree/main) to enhance spatial reasoning as in [SpatialVLM](https://spatial-vlm.github.io/) 
+**SpaceLLaVA** uses LoRA to fine-tune [LLaVA](https://github.com/haotian-liu/LLaVA/tree/main) on a dataset designed with [VQASynth](https://github.com/remyxai/VQASynth/tree/main) to enhance spatial reasoning as in [SpatialVLM](https://spatial-vlm.github.io/)
 
 ## Model Details
 
 ### Model Description
 
-This model uses data synthesis techniques and publically available models to reproduce the work described in SpatialVLM to enhance the spatial reasoning of multimodal models. 
+This model uses data synthesis techniques and publically available models to reproduce the work described in SpatialVLM to enhance the spatial reasoning of multimodal models.
 With a pipeline of expert models, we can infer spatial relationships between objects in a scene to create VQA dataset for spatial reasoning.
 
 
@@ -32,7 +32,7 @@ With a pipeline of expert models, we can infer spatial relationships between obj
 Use this model to query spatial relationships between objects in a scene.
 
 ## Citation
-
+```
 @article{chen2024spatialvlm,
   title = {SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities},
   author = {Chen, Boyuan and Xu, Zhuo and Kirmani, Sean and Ichter, Brian and Driess, Danny and Florence, Pete and Sadigh, Dorsa and Guibas, Leonidas and Xia, Fei},
@@ -42,8 +42,9 @@ Use this model to query spatial relationships between objects in a scene.
 }
 
 @misc{liu2023llava,
-      title={Visual Instruction Tuning}, 
+      title={Visual Instruction Tuning},
       author={Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae},
       publisher={NeurIPS},
       year={2023},
 }
+```