readme: ---
  pipeline_tag: sentence-similarity
  tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - transformers
  ---
  
  ## Usage
  
  ```
  from sentence_transformers import SentenceTransformer, models
  embedding_model = models.Transformer("yobi/klue-roberta-base-sts")
  pooling_model = models.Pooling(
      embedding_model.get_word_embedding_dimension(),
      pooling_mode_mean_tokens=True,
  )
  model = SentenceTransformer(modules=[embedding_model,  pooling_model])
  model.encode("안녕하세요.", convert_to_tensor=True)
  ```
  
  