readme: ---
  language: zh
  tags:
  - exbert
  license: apache-2.0
  widget:
  - text: "女人做得越纯粹，皮肤和身材就越好"
  - text: "我喜欢篮球"
  ---
  
  # liam168/c4-zh-distilbert-base-uncased
  
  ## Model description
  
  用 ["女性","体育","文学","校园"]4类数据训练的分类模型。
  
  ## Overview
  
  - **Language model**: DistilBERT
  - **Model size**: 280M 
  - **Language**: Chinese
  
  ## Example
  
  ```python
  >>> from transformers import DistilBertForSequenceClassification , AutoTokenizer, pipeline
  
  >>> model_name = "liam168/c4-zh-distilbert-base-uncased"
  >>> class_num = 4
  >>> ts_texts = ["女人做得越纯粹，皮肤和身材就越好", "我喜欢篮球"]
  >>> model = DistilBertForSequenceClassification.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': 'Female', 'score': 0.9137857556343079}]
  [{'label': 'Sports', 'score': 0.8206522464752197}]
  
  ```
  