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博主好,感谢提供了这一份嵌入bert预训练模型的python实现。最近有在看你的代码,发现一个事情,每次再向bert_layer层提供input_ids时,都是重新初始化了embedding_table,那么不同句中的同一个字极有可能是不同的初始化向量,这里是不是规定下种子号更为妥当?bert小白一枚,还请指点下
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博主好,感谢提供了这一份嵌入bert预训练模型的python实现。最近有在看你的代码,发现一个事情,每次再向bert_layer层提供input_ids时,都是重新初始化了embedding_table,那么不同句中的同一个字极有可能是不同的初始化向量,这里是不是规定下种子号更为妥当?bert小白一枚,还请指点下
The text was updated successfully, but these errors were encountered: