Comments (4)
在进行w2v的时候是分别根据序列进行embeding得到128维向量。
请教一下,后续是如何融入到同一空间的?
拼接起来经过全连接层,降维到512维
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在预训练bert的时候,是不同的id分别做成序列进行encoding吗?
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在预训练bert的时候,是不同的id分别做成序列进行encoding吗?
不是,所有id的embedding拼接起来,经过全连接层,得到512维的表示,只有一个序列
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不太理解, 能不能给段的代码呀?谢谢
请看src/data_loader.py谢谢
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