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# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2021, PaddleNLP
# This file is distributed under the same license as the PaddleNLP package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2022.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: PaddleNLP \n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2022-03-18 21:31+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.9.0\n"

#: ../changelog.md:1
msgid "v2.0.2 (2021.06.07)"
msgstr ""

#: ../changelog.md:3
msgid "丰富预训练模型"
msgstr ""

#: ../changelog.md:4
msgid "新增多粒度语言知识预训练模型ERNIE-Gram，该模型在多项中文NLP任务取得SOTA成绩。"
msgstr ""

#: ../changelog.md:5
msgid "新增NeZha中文预训练模型，感谢 @jm12138 的高质量贡献！ 🎉 🎉 🎉"
msgstr ""

#: ../changelog.md:6
msgid "新增GPT CPM-Distill中文小型化模型，感谢 @jm12138 的高质量贡献！🎉 🎉 🎉"
msgstr ""

#: ../changelog.md:8 ../changelog.md:14
msgid "Bug Fix"
msgstr ""

#: ../changelog.md:9
msgid "修复了softmax_with_crossentropy API导致的deprecated warning"
msgstr ""

#: ../changelog.md:10
msgid "更正了ChnSentiCorp, LCQMC等数据集的官方下载链接。"
msgstr ""

#: ../changelog.md:12
msgid "v2.0.1 (2021.05.21)"
msgstr ""

#: ../changelog.md:15
msgid "修复Windows CPU环境下的import产生的CUDA_HOME检测问题。"
msgstr ""

#: ../changelog.md:17
msgid "v2.0.0 (2021.05.20)"
msgstr ""

#: ../changelog.md:19
msgid ""
"PaddleNLP "
"2.0是飞桨生态的文本领域核心库，具备易用的文本领域API，多场景的应用示例、和高性能分布式训练三大特点，旨在提升飞桨开发者文本领域建模效率，并提供基于飞桨框架2.0的NLP领域最佳实践。"
msgstr ""

#: ../changelog.md:21
msgid "特性"
msgstr ""

#: ../changelog.md:23
msgid "易用的文本领域API"
msgstr ""

#: ../changelog.md:24
msgid ""
"提供从数据集加载、文本预处理、组网建模、评估、到推的领域API：如一键加载丰富中文数据集的Dataset API, "
"可灵活高效的进行数据与处理的Data API，预置60+预训练词向量的Embedding API, "
"内置50+预训练模型，提供预训练模型生态基础设施的Transformer "
"API等，可大幅提升NLP任务建模和迭代的效率。更多API详细说明请查看PaddleNLP官方文档"
msgstr ""

#: ../changelog.md:27
msgid "多场景的应用示例"
msgstr ""

#: ../changelog.md:28
msgid ""
"PaddleNLP "
"2.0提供多粒度多场景的应用示例，涵盖从NLP基础技术、NLP核心技术、NLP系统应用以及文本相关的拓展应用等。全面基于飞桨2.0全新API体系开发，为开发提供飞桨2.0框架在文本领域的最佳实践。"
msgstr ""

#: ../changelog.md:31
msgid "高性能分布式训练"
msgstr ""

#: ../changelog.md:32
msgid ""
"基于飞桨核心框架『动静统一』的特性与领先的自动混合精度优化策略，通过分布式Fleet "
"API，支持超大规模参数的4D混合并行策略，并且可根据硬件情况灵活可配，高效地完成超大规模参数的模型训练。"
msgstr ""