正式发布PaddleHub预训练模型管理工具，旨在帮助用户更高效的管理模型并开展迁移学习的工作。
预训练模型管理: 通过hub命令行可完成PaddlePaddle生态的预训练模型下载、搜索、版本管理等功能。
命令行一键使用: 无需代码，通过命令行即可直接使用预训练模型进行预测，快速调研训练模型效果。目前版本支持以下模型：词法分析LAC；情感分析Senta；目标检测SSD；图像分类ResNet, MobileNet, NASNet等。
迁移学习: 提供了基于预训练模型的Finetune API，用户通过少量代码即可完成迁移学习，包括BERT/ERNIE文本分类、序列标注、图像分类迁移等。
PaddleHub, a pre-trained model management tool, is released and strives to help users manage pre-trained models and conduct transfer learning more efficiently.
Pre-trained model management: Pre-trained model download, search, version management and other functions in the PaddlePaddle ecosystem can be completed through the hub command line.
One-click command line: Free from code, you can use the pre-trained model to infer straight through the command line, and quickly examine the effect of the training model. The current version supports the following models: Lexical Analysis - LAC; Sentiment Analysis - Senta; Object Detection - SSD; Image Classification: ResNet, MobileNet, NASNet etc.
Transfer Learning: Provides a Finetune API based on pre-trained models. Users can complete transfer learning with a small amount of code. The API mainly includes BERT/ERNIE text classification, sequence labeling, image classification transfer learning.