Update README.md

README.md

@@ -29,14 +29,13 @@ RDT takes language instruction, image observations and proprioception as input,
 The unified action space vector includes all the main physical quantities of robots (e.g. the end-effector and joint, position and velocity, base movement, etc.) and can be applied to a wide range of robotic embodiments.
 
 The pre-trained RDT model can be fine-tuned for specific robotic embodiment and deployed on real-world robots. 
-Here's an example of how to use the RDT-1B model for inference on a Mobile-ALOHA robot:```python
+Here's an example of how to use the RDT-1B model for inference on a Mobile-ALOHA robot:
 
 ```python
 # Clone the repo and install depencies
 ```
 
 RDT-1B supports finetuning on custom dataset, deploying and inferencing on real-robots, as well as pretraining the model.
-
 Please refer to [our repository](https://github.com/GeneralEmbodiedSystem/RoboticsDiffusionTransformer/blob/main/docs/pretrain.md) for all the above guides.