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@@ -51,11 +51,21 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
 
 
 
 
 
 
 
 
 
 
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  ## Training and evaluation data
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  ## Model description
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+ Pretrained RoBERTa Model on Korean Language. See [Github](https://github.com/KLUE-benchmark/KLUE) and [Paper](https://arxiv.org/abs/2105.09680) for more details.
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  ## Intended uses & limitations
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+ ## How to use
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+
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+ _NOTE:_ Use `BertTokenizer` instead of RobertaTokenizer. (`AutoTokenizer` will load `BertTokenizer`)
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+ ```python
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+ from transformers import AutoModel, AutoTokenizer
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+ model = AutoModel.from_pretrained("klue/roberta-base")
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+ tokenizer = AutoTokenizer.from_pretrained("klue/roberta-base")
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+ ```
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  ## Training and evaluation data
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