readme: ---
  language: zh
  tags:
  - chinese-roberta-wwm-ext
  datasets:
  - dialogue
  ---
  # Data
  unsupervise train data is E-commerce dialogue, about 20w sentence pairs. 
  ## Model
  model is chinese-roberta-wwm-ext
  ### Usage
  ```python
  >>> from transformers import AutoTokenizer, AutoModel
  >>> model = AutoModel.from_pretrained("tuhailong/chinese-roberta-wwm-ext")
  >>> tokenizer = AutoTokenizer.from_pretrained("tuhailong/chinese-roberta-wwm-ext")
  >>> sentences_str_list = ["今天天气不错的","天气不错的"]
  >>> inputs = tokenizer(sentences_str_list,return_tensors="pt", padding='max_length', truncation=True, max_length=32)
  >>> outputs = model(**inputs)
  ```