Move sentence outside of code block

README.md

@@ -12,9 +12,10 @@ GPT-J 162B was pre-trained on the Pile, a large-scale curated dataset created by
 Architext models learn an inner representation of the architectural design that can be used to generate a larger diversity of geometric designs and can be useful for many downstream design workflows and tasks. While it could be adapted to many different design outputs, the model is best at generating residential floor plans given a natural language prompt.
 
 # How to use
-```python
+
 This model can be easily loaded using the AutoModelForCausalLM functionality:
 
+```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 tokenizer = AutoTokenizer.from_pretrained("architext/gptj-162M")