diff --git a/README.md b/README.md index 385aebb1b5ed03028f8ed1d718c87b9ad59ba7be..0691e9ea94dba92bfa2d338b52d447e229d8b9a7 100644 --- a/README.md +++ b/README.md @@ -14,12 +14,12 @@ English | [简体中文](README_ch.md) ## 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】**. @@ -28,12 +28,11 @@ English | [简体中文](README_ch.md) ## 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 @@ -89,25 +88,25 @@ English | [简体中文](README_ch.md) ### 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.