readme: ---
  language:
  - zh
  tags:
  - named entity recognition
  license: apache-2.0
  datasets:
  - CMeEE
  metrics:
  - micro f1
  ---
  
  # Global Pointer实体抽取模型
  
  ## 模型介绍
  
  + 数据集：CMeEE中文医学文本命名实时识别
  
  + 模型方法：[Efficient GlobalPointer：少点参数，多点效果](https://spaces.ac.cn/archives/8877)
  
  ## 使用方法
  
  ```commandline
  pip install lightningnlp
  ```
  
  ```python
  from pprint import pprint
  from lightningnlp.task.named_entity_recognition import NerPipeline
  
  pipline = NerPipeline(model_name_or_path="xusenlin/cmeee-global-pointer", model_name="global-pointer", model_type="bert")
  text = "可伴发血肿或脑梗死而出现局灶性神经体征，如肢体瘫痪及颅神经异常等。"
  pprint(pipline(text))
  ```
  