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--- |
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language: |
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- zh |
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tags: |
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- named entity recognition |
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license: apache-2.0 |
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datasets: |
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- CMeEE |
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metrics: |
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- micro f1 |
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--- |
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# Global Pointer实体抽取模型 |
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## 模型介绍 |
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+ 数据集：CMeEE中文医学文本命名实时识别 |
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+ 模型方法：[Efficient GlobalPointer：少点参数，多点效果](https://spaces.ac.cn/archives/8877) |
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## 使用方法 |
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```commandline |
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pip install lightningnlp |
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``` |
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```python |
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from pprint import pprint |
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from lightningnlp.task.named_entity_recognition import NerPipeline |
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pipline = NerPipeline(model_name_or_path="xusenlin/cmeee-global-pointer", model_name="global-pointer", model_type="bert") |
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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。" |
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pprint(pipline(text)) |
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``` |
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