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Update README.md

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@@ -127,7 +127,7 @@ 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='xlm-roberta-base')
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  >>> unmasker("Hello I'm a <mask> model.")
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  [{'score': 0.10563907772302628,
 
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  ```python
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  >>> from transformers import pipeline
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+ >>> unmasker = pipeline('fill-mask', model='mlm_hf')
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  >>> unmasker("Hello I'm a <mask> model.")
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  [{'score': 0.10563907772302628,