| | --- |
| | 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 litie |
| | ``` |
| |
|
| | ```python |
| | from pprint import pprint |
| | from litie.pipelines import NerPipeline |
| | |
| | pipline = NerPipeline("global-pointer", model_name_or_path="xusenlin/cmeee-global-pointer") |
| | 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)) |
| | ``` |
| |
|
| | 更多模型的训练和推理详见 [lit-ie](https://github.com/xusenlinzy/lit-ie) |
| |
|
