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Update README.md

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