Update README.md

README.md

@@ -45,7 +45,7 @@ model_output=model.generate(inp, use_cache=True, num_beams=4, max_length=20, min
 decoded_output=tokenizer.decode(model_output[0], skip_special_tokens=True, clean_up_tokenization_spaces=False)
 
 print(decoded_output) # I am a boy
-
+```
 Notes:
 1. This is compatible with the latest version of transformers but was developed with version 4.3.2 so consider using 4.3.2 if possible.
 2. While I have only shown how to let logits and loss and how to generate outputs, you can do pretty much everything the MBartForConditionalGeneration class can do as in https://huggingface.co/docs/transformers/model_doc/mbart#transformers.MBartForConditionalGeneration