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README
Apache-2.0

简体中文 | English


简介与特性

  • PaddleHub旨在为开发者提供丰富的、高质量的、直接可用的预训练模型
  • 【模型种类丰富】: 涵盖大模型、CV、NLP、Audio、Video、工业应用主流六大品类的 400+ 预训练模型,全部开源下载,离线可运行
  • 【超低使用门槛】:无需深度学习背景、无需数据与训练过程,可快速使用AI模型
  • 【一键模型快速预测】:通过一行命令行或者极简的Python API实现模型调用,可快速体验模型效果
  • 【一键模型转服务化】:一行命令,搭建深度学习模型API服务化部署能力
  • 【跨平台兼容性】:可运行于Linux、Windows、MacOS等多种操作系统

近期更新

  • 🔥2022.10.20: 发布v2.3.1版本新增Stable_Diffusion系列模型和超分模型

  • 🔥2022.08.19: 发布v2.3.0版本新增文心大模型disco diffusion(dd)系列文图生成模型。

    • 支持对文心大模型API的调用, 包括 文图生成模型ERNIE-ViLG, 以及支持写作文、写文案、写摘要、对对联、自由问答、写小说、补全文本等多个应用的语言模型ERNIE 3.0 Zeus
    • 新增基于disco diffusion技术的文图生成dd系列模型(免费GPU体验Demo)。
  • 2022.02.18: 加入Huggingface,创建了PaddlePaddle的可视化空间并上传了模型: PaddlePaddle Huggingface

  • 🔥2021.12.22,发布v2.2.0版本新增预训练模型库官网,新增100+高质量模型,涵盖对话、语音处理、语义分割、文字识别、文本处理、图像生成等多个领域,预训练模型总量达到【360+】;

  • More

精品模型效果展示【更多】【模型库】

大模型(10个)

文心大模型 Stable_Diffusion系列模型 Disco Diffusion系列模型
支持文图生成、写作文、写文案、写摘要、对对联、自由问答、写小说、补全文本等多个应用。 支持文生图、图生图、图修复、二次元专属waifu等功能 支持中英输入

图像类(212个)

  • 包括图像分类、人脸检测、口罩检测、车辆检测、人脸/人体/手部关键点检测、人像分割、80+语言文本识别、图像超分/上色/动漫化等

文本类(130个)

  • 包括中文分词、词性标注与命名实体识别、句法分析、AI写诗/对联/情话/藏头诗、中文的评论情感分析、中文色情文本审核等
  • 感谢CopyRight@ERNIELACDDParser提供相关预训练模型,训练能力开放,欢迎体验。

语音类(15个)

  • ASR语音识别算法,多种算法可选
  • 语音识别效果如下:
Input Audio Recognition Result

I knocked at the door on the ancient side of the building.

我认为跑步最重要的就是给我带来了身体健康。
  • TTS语音合成算法,多种算法可选
  • 输入:Life was like a box of chocolates, you never know what you're gonna get.
  • 合成效果如下:
deepvoice3 fastspeech transformer



  • 感谢CopyRight@PaddleSpeech提供预训练模型,训练能力开放,欢迎体验。

视频类(8个)

  • 包含短视频分类,支持3000+标签种类,可输出TOP-K标签,多种算法可选。
  • 感谢CopyRight@PaddleVideo提供预训练模型,训练能力开放,欢迎体验。
  • 举例:输入一段游泳的短视频,算法可以输出"游泳"结果

===划重点===

  • 以上所有预训练模型全部开源,模型数量持续更新,欢迎⭐Star⭐关注。

欢迎加入PaddleHub技术交流群

  • 在使用模型过程中有任何问题,可以加入官方微信群,获得更高效的问题答疑,与各行各业开发者充分交流,期待您的加入。
扫码备注"Hub"加好友之后,再发送“Hub”,会自动邀请您入群。
!pip install --upgrade paddlepaddle -i https://mirror.baidu.com/pypi/simple
!pip install --upgrade paddlehub -i https://mirror.baidu.com/pypi/simple

极简中文分词案例

import paddlehub as hub

lac = hub.Module(name="lac")
test_text = ["今天是个好天气。"]

results = lac.cut(text=test_text, use_gpu=False, batch_size=1, return_tag=True)
print(results)
#{'word': ['今天', '是', '个', '好天气', '。'], 'tag': ['TIME', 'v', 'q', 'n', 'w']}

一行代码部署lac(词法分析)模型

!hub serving start -m lac

欢迎用户通过模型搜索发现更多实用的预训练模型!

更多迁移学习能力可以参考教程文档

许可证书

本项目的发布受Apache 2.0 license许可认证。

致谢开发者

我们非常欢迎您为PaddleHub贡献代码,也十分感谢您的反馈。

  • 非常感谢肖培楷贡献了街景动漫化,人像动漫化、手势关键点识别、天空置换、深度估计、人像分割等module
  • 非常感谢Austendeng贡献了修复SequenceLabelReader的pr
  • 非常感谢cclauss贡献了优化travis-ci检查的pr
  • 非常感谢奇想天外贡献了口罩检测的demo
  • 非常感谢mhlwsk贡献了修复序列标注预测demo的pr
  • 非常感谢zbp-xxxp七年期限联合贡献了看图写诗中秋特别版module、谣言预测、请假条生成等module
  • 非常感谢livingbody贡献了基于PaddleHub能力的风格迁移和中秋看图写诗微信小程序
  • 非常感谢BurrowsWang修复Markdown表格显示问题
  • 非常感谢huqi修复了readme中的错别字
  • 非常感谢paranocqvudeehrlic三位的贡献与支持
  • 非常感谢paopjian修改了中文readme模型搜索指向的的网站地址错误#1424
  • 非常感谢Wgm-Inspur修复了readme中的代码示例问题,并优化了文本分类、序列标注demo中的RNN示例图
  • 非常感谢zl1271修复了serving文档中的错别字
  • 非常感谢AK391在Hugging Face spaces中添加了UGATIT和deoldify模型的web demo
  • 非常感谢itegel修复了快速开始文档中的错别字
  • 非常感谢AK391在Hugging Face spaces中添加了Photo2Cartoon模型的web demo
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简介

『飞桨』预训练模型应用工具 Awesome pre-trained models toolkit based on PaddlePaddle 展开 收起
Python 等 2 种语言
Apache-2.0
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