Update README.md

README.md

@@ -40,6 +40,7 @@ The only limitation you might face is, to get the best results, you will have to
 
 Use the code below to get started with the model.
 
+---
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 import torch
 
@@ -63,6 +64,8 @@ summary = tokenizer.batch_decode(sequences, skip_special_tokens=True)  # Decode
 ## Print the generated summary
 print(summary)
 
+---
+
 ## Feel free to play around with the hyperparameters in the generate, or some other parameters to include for experimentation purpose.