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@@ -21,14 +21,21 @@ non-commercial use. For any users seeking commercial use of our model and genera
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  ## Example usage
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  ```
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- >>> from transformers import RoFormerForMaskedLM, RoFormerTokenizer, pipeline, RoFormerForSequenceClassification
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-
 
 
 
 
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  >>> tokenizer = RoFormerTokenizer.from_pretrained("alchemab/antiberta2")
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  >>> model = RoFormerForMaskedLM.from_pretrained("alchemab/antiberta2")
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  >>> filler = pipeline(model=model, tokenizer=tokenizer)
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  >>> filler("Ḣ Q V Q ... C A [MASK] D ... T V S S") # fill in the mask
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- >>> new_model = RoFormerForSequenceClassification.from_pretrained("alchemab/antiberta2") # this will of course raise warnings that a new linear layer will be added and randomly initialized
 
 
 
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  ```
 
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  ## Example usage
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  ```
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+ >>> from transformers import (
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+ RoFormerForMaskedLM,
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+ RoFormerTokenizer,
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+ pipeline,
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+ RoFormerForSequenceClassification
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+ )
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  >>> tokenizer = RoFormerTokenizer.from_pretrained("alchemab/antiberta2")
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  >>> model = RoFormerForMaskedLM.from_pretrained("alchemab/antiberta2")
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  >>> filler = pipeline(model=model, tokenizer=tokenizer)
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  >>> filler("Ḣ Q V Q ... C A [MASK] D ... T V S S") # fill in the mask
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+ >>> new_model = RoFormerForSequenceClassification.from_pretrained(
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+ "alchemab/antiberta2") # this will of course raise warnings
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+ # that a new linear layer will be added
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+ # and randomly initialized
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  ```