但在DNABERT-2 中,我们每次只输入一个序列进行训练,也没有 NSP 训练任务,因此这个部分其实没有考虑,输入的 token type 序列全部都是 0,Token Type Embedding 是torch.nn.Embedding(2, Dh)。 2.5 Transformer Encoder 层 DNABERT-2与原始的 DNABERT 模型在 Transformer 层的实现有3 处不同: 换用了更为高效的 ...
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