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### 环境依赖
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> python == 3.8
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> python == 3.7
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- numpy == 1.20.3
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- tokenizers == 0.10.3
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- torch == 1.8.0
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- regex == 2021.4.4
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- transformers == 4.7.0
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- tqdm == 4.49.0
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- activations == 0.1.0
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- dataclasses == 0.6
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- file_utils == 0.0.1
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- flax == 0.3.4
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- utils == 1.0.1
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- cuda == 10.2
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- torch == 1.5.0
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- transformers == 3.0.4
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- opt-einsum == 3.3.0
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- ujson
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- tqdm
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- allennlp
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- deepke
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### 克隆代码
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@ -29,7 +25,7 @@ git clone git@github.com:zjunlp/DeepKE.git
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### 使用数据进行训练预测
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- 存放数据:在 `data` 文件夹下存放训练数据。模型采用的数据集是[DocRED](https://github.com/thunlp/DocRED/tree/master/),DocRED数据集来自于2010年的国际语义评测大会中Task 8:"Multi-Way Classification of Semantic Relations Between Pairs of Nominals"。
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- 存放数据:在 `data` 文件夹下存放训练数据。模型采用的数据集是[DocRED](https://github.com/thunlp/DocRED/tree/master/)。
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- DocRED包含以下数据:
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