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BERT是一个transformers模型,它是在一个大型英文语料库上进行自监督预训练的。这意味着它仅在原始文本上进行预训练,没有任何人类以任何方式对其进行标注(这就是为什么它可以使用大量公开可用的数据),并使用自动过程从这些文本中生成输入和标签。更准确地说,它是通过两个目标进行预训练的:
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