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  With the addition of chatting data, the model is trained to handle the semantics of sequences longer than KoBART.
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  ### Performance
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  NSMC
 
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  With the addition of chatting data, the model is trained to handle the semantics of sequences longer than KoBART.
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+ ```python
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+ from transformers import reTrainedTokenizerFast, BartModel
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+
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+ tokenizer = PreTrainedTokenizerFast.from_pretrained('gogamza/kobart-base-v2')
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+ model = BartModel.from_pretrained('gogamza/kobart-base-v2')
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+ ```
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+
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  ### Performance
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  NSMC