metadata

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

使用方法

pip install lightningnlp

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))