readme: ---
  language: zh
  tags:
  - sbert
  datasets:
  - dialogue
  ---
  
  # Data
  train data is similarity sentence data from E-commerce dialogue, about 20w sentence pairs.
  
  ## Model
  model created by [sentence-tansformers](https://www.sbert.net/index.html)，model struct is cross-encoder
  
  ### Usage
  ```python
  >>> from sentence_transformers.cross_encoder import CrossEncoder
  >>> model = CrossEncoder('tuhailong/cross-encoder')
  >>> scores = model.predict([["今天天气不错", "今天心情不错"]])
  >>> print(scores)
  ```