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@ -100,7 +100,7 @@ DeepKE包括了三个模块，可以进行关系抽取、实体命名识别以
**[STANDARD](https://github.com/zjunlp/deepke/blob/test_new_deepke/example/re/standard)** ：
常规模块为常用的深度学习模型，有CNN、RNN、Capsule、GCN、Transforemer以及预训练模型，可进入其目录，修改数据集以及conf文件夹下的目录，```python run.py```即可训练，```python predict.py```即可预测。
**[FEW-SHORT](https://github.com/zjunlp/deepke/blob/test_new_deepke/example/re/few-shot)** :
**[FEW-SHOT](https://github.com/zjunlp/deepke/blob/test_new_deepke/example/re/few-shot)** :
进入其目录，修改数据集以及conf文件夹下的目录，```python run.py```即可训练，如需从上次训练的模型开始训练：设置.yaml中的train_from_saved_model为上次保存模型的路径，每次训练的日志保存路径默认保存在根目录，可以通过.yaml中的log_dir来配置```python predict.py```即可预测。
**[DOCUMENT](https://github.com/zjunlp/deepke/blob/test_new_deepke/example/re/document)** :