基于Transformer的生成式文本摘要模型,基于Mxnet/gluon。
大部分超参数可以在 hyper_parameters.py 文件中进行设置。
设置完参数之后,运行 train.py 文件。
运行 summarize.py 文件,按照提示输入原文,可根据训练结果调整测试时加载的模型轮次。
This project forked from horieyuan/transformertextsummarization
基于Transformer的生成式文本摘要
基于Transformer的生成式文本摘要模型,基于Mxnet/gluon。
大部分超参数可以在 hyper_parameters.py 文件中进行设置。
设置完参数之后,运行 train.py 文件。
运行 summarize.py 文件,按照提示输入原文,可根据训练结果调整测试时加载的模型轮次。
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