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@@ -28,25 +28,25 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- Fine-tuned model for a sentiment analysis for the Korean language
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  ## Intended uses & limitations
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- To use the model,
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-
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  from transformers import pipeline
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  sentiment_model = pipeline(model="WhitePeak/bert-base-cased-Korean-sentiment")
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  sentiment_mode("매우 좋아")
 
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  Result:
 
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  LABEL_0: negative
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  LABEL_1: positive
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-
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  ## Model description
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+ This is a fine-tuned model for a sentiment analysis for the Korean language based on customer reviews in the Korean language
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  ## Intended uses & limitations
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+ ```python
 
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  from transformers import pipeline
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  sentiment_model = pipeline(model="WhitePeak/bert-base-cased-Korean-sentiment")
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  sentiment_mode("매우 좋아")
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+ ```
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  Result:
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+ ```
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  LABEL_0: negative
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  LABEL_1: positive
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+ ```
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  ## Training and evaluation data
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  ## Training procedure
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