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你好: PR-Embedding一般有两种使用方式: 1、特征计算:基于BOW和cosine的特征计算,P-Emb用于表示上文,R-Emb表示候选回复,类似论文中单轮实验; 2、神经网络:分别为上文context和下文reply新建一个Embedding layer,其权重分别用P-Emb和R-Emb初始化,网络其他结构不变,类似于论文中基于KVMenn模型的多轮实验。 谢谢!
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您好,感谢回复。 就是上传的代码里面,怎么加载模型使用,具体这块信息说明没看到。
你好: 上传的代码主要用于Embedding的训练,不涉及模型加载,不太懂你的需求~
恩,就是想问下模型加载这块的代码,试用下
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The text was updated successfully, but these errors were encountered: