readme: ---
  language: zh
  widget: 
  - text: "我喜欢下雨。"
  - text: "我讨厌他。"
  ---
  
  # liam168/c2-roberta-base-finetuned-dianping-chinese
  
  ## Model description
  
  用中文对话情绪语料训练的模型，2分类：乐观和悲观。
  
  ## Overview
  
  - **Language model**: BertForSequenceClassification
  - **Model size**: 410M
  - **Language**: Chinese
  
  ## Example
  
  ```python
  >>> from transformers import AutoModelForSequenceClassification , AutoTokenizer, pipeline
  
  >>> model_name = "liam168/c2-roberta-base-finetuned-dianping-chinese"
  >>> class_num = 2
  >>> ts_texts = ["我喜欢下雨。", "我讨厌他."]
  >>> model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=class_num)
  >>> tokenizer = AutoTokenizer.from_pretrained(model_name)
  >>> classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
  >>> classifier(ts_texts[0])
  >>> classifier(ts_texts[1])
  
  [{'label': 'positive', 'score': 0.9973447918891907}]
  [{'label': 'negative', 'score': 0.9972558617591858}]
  
  ```
  