Update README.md

README.md

@@ -2,6 +2,7 @@ EconBERTa - RoBERTa further trained on 4GB of uncompressed text sourced from eco
 
 Example usage for MLM: 
 
+```python
 from transformers import RobertaTokenizer, RobertaForMaskedLM
 from transformers import pipeline
 
@@ -11,6 +12,7 @@ model.eval()
 mlm = pipeline('fill-mask', model = model, tokenizer  = tokenizer)
 test = "ECB - euro, FED - <mask>, BoJ - yen"
 print(mlm(test)[:2])
+```
 
 Will give: