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## Introduction
- PaddleHub aims to provide developers with rich, high-quality, and directly usable pre-trained models.
-**【No need for deep learning background, no data and training process】**，you can use AI models quickly and enjoy the dividends of the artificial intelligence era.
-**No need for deep learning background**，you can use AI models quickly and enjoy the dividends of the artificial intelligence era.
- Covers 4 major categories of CV, NLP, Audio, and Video, and supports **one-click prediction**, **one-click service deployment** and **transfer learning**
- All models are **OPEN SOURCE**, **FREE** for download and use in **offline scenario**.
- All models are **OPEN SOURCE**, **FREE** for download and use in offline scenario.
**Recent updates**
- 2020.12.1: Release 2.0-beta-1 version, migrate ERNIE, RoBERTa, BERT to dynamic graph mode. Add text classification fine-tuen task based on large-scale pre-trained models.
- 2020.12.1: Release 2.0-beta1 version, migrate ERNIE, RoBERTa, BERT to dynamic graph mode. Add text classification fine-tune task based on large-scale pre-trained models.
- 2020.11.20: Release 2.0-beta version, fully migrate the dynamic graph programming mode, and upgrade the service deployment Serving capability; add 1 hand key point detection model, 12 image animation models, 3 image editing models, 3 speech synthesis models, syntax Analyzing one, the total number of pre-trained models reaches **【182】**.
- 2020.10.09: Added 4 new OCR multi-language series models, 4 image editing models, and the total number of pre-trained models reached **【162】**.
- 2020.09.27: 6 new text generation models and 1 image segmentation model were added, and the total number of pre-trained models reached **【154】**.
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## Features
-**【Abundant Pre-trained Models】**: 180+ pre-trained models covering the four major categories of CV, NLP, Audio, and Video, all open source downloads, and can be run offline.
-**【Quick Model Prediction】**: Model calls can be realized through a one-line command line or a minimalist Python API to quickly experience the model effect.
-**【Model As Service】**: A one-line command to build deep learning model API service deployment capabilities.
-**【Ten Lines of Code for Transfer Learning】**: Ten lines of code complete the transfer-learning task of image classification and text classification.
-**【PIP installation 】**: Support PIP quick installation and use.
-**【Cross-platform Compatibility】**: Can run on Linux, Windows, MacOS and other operating systems.
-**Abundant Pre-trained Models**: 180+ pre-trained models covering the four major categories of CV, NLP, Audio, and Video, all open source and free for downloads and offline usage.
-**Quick Model Prediction**: Model calls can be realized through a one-line command line or a minimalist Python API to quickly experience the model effect.
-**Model As Service**: A one-line command to build deep learning model API service deployment capabilities.
-**Super Easy Transfer Learning**: Just few lines of code you complete the transfer-learning task like image classification and text classification, etc.
-**Cross-platform**: Can run on Linux, Windows, MacOS and other operating systems.
## Visualization Demo
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### Image Segmentation
-Contains excellent portrait cutout model, ACE2P human body analysis world champion model.
-High quality pixel-level portrait cutout model, ACE2P human body analysis world champion models are provided.
