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#: ../source/paddlenlp.transformers.xlnet.rst:2
msgid "xlnet"
msgstr ""

#: of paddlenlp.transformers.xlnet:4
msgid ""
"`XLNet: Generalized Autoregressive Pretraining for Language Understanding"
" <https://arxiv.org/abs/1906.08237>`__ 是一款无监督的自回归预训练语言模型。"
msgstr ""

#: of paddlenlp.transformers.xlnet:7
msgid ""
"有别于传统的单向自回归模型，XLNet通过最大化输入序列所有排列的期望来进行语言建模，这使得它可以同时关注到上下文的信息。 "
"另外，XLNet在预训练阶段集成了 `Transformer-XL <https://arxiv.org/abs/1901.02860>`__ "
"模型， Transformer-XL中的片段循环机制（Segment Recurrent Mechanism）和相对位置编码（Relative "
"Positional Encoding）机制 能够支持XLNet接受更长的输入序列，这使得XLNet在长文本序列的语言任务上有着优秀的表现。"
msgstr ""

#: of paddlenlp.transformers.xlnet:12
msgid "本项目是XLNet在 Paddle 2.0上的开源实现，由modeling和tokenizer两部分组成。"
msgstr ""

