Update README.md

README.md

@@ -36,7 +36,7 @@ More information needed
 
 ### How to use
 Here is how to use this model:
-```python
+~~~
 from transformers import AutoTokenizer
 from transformers import AutoModelForCausalLM
 import torch
@@ -86,11 +86,11 @@ def translate_es_inclusivo(exclusive_text):
 input_text = 'Los alumnos atienden a sus profesores'
 
 print(translate_es_inclusivo(input_text))
-```python
+~~~
 
 
 As it is a heavy model, you may want to use it in 4-bits:
-```python
+~~~
 from transformers import AutoTokenizer
 from transformers import AutoModelForCausalLM
 from transformers import BitsAndBytesConfig
@@ -153,7 +153,7 @@ def translate_es_inclusivo(exclusive_text):
 input_text = 'Los alumnos atienden a sus profesores'
 
 print(translate_es_inclusivo(input_text))
-```python
+~~~
 
 ## Training and evaluation data