readme: ---
  language: ko
  ---
  
  # BERT multilingual basecased finetuned with NSMC
  
  This model is a fine-tune checkpoint of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased), fine-tuned on [NSMC(Naver Sentiment Movie Corpus)](https://github.com/e9t/nsmc).
  
  ## Usage
  
  You can use this model directly with a pipeline for sentiment-analysis:
  
  ```python
  >>> from transformers import pipeline
  >>> classifier = pipeline(
      "sentiment-analysis", model="sangrimlee/bert-base-multilingual-cased-nsmc"
  )
  >>> classifier("흠...포스터보고 초딩영화줄....오버연기조차 가볍지 않구나.")
  >>> classifier("액션이 없는데도 재미 있는 몇안되는 영화")
  
  [{'label': 'negative', 'score': 0.9642567038536072}]
  [{'label': 'positive', 'score': 0.9970554113388062}]
  ```
  