Update README.md

README.md

@@ -126,7 +126,7 @@ You can use this model directly with a pipeline for masked language modeling:
 
 ```python
 >>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='stefan-it/xlm-v-base')
+>>> unmasker = pipeline('fill-mask', model='facebook/xlm-v-base')
 >>> unmasker("Paris is the <mask> of France.")
 
 [{'score': 0.9286897778511047,