Update README

README.md

@@ -88,6 +88,7 @@ You can use the pipeline for masked language modeling:
 ```python
 >>> from transformers import pipeline
 >>> from pprint import pprint
+>>> unmasker = pipeline('fill-mask', model='BSC-LT/mRoBERTa')
 
 >>> pprint(unmasker("I love the<mask>of Barcelona.",top_k=3))
 [{'score': 0.44038116931915283,