| --- |
| 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) |
|
|
