From 4978e4bcf934bc536840868b9276c48fa9c64261 Mon Sep 17 00:00:00 2001 From: Zeyu Chen Date: Mon, 7 Dec 2020 09:37:32 +0800 Subject: [PATCH] Update README.md --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 21ea5ee7..7bb23406 100644 --- a/README.md +++ b/README.md @@ -14,9 +14,9 @@ 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**，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. +- **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 Image, Text, Audio, and Video, and supports **one-click prediction**, **easy service deployment** and **transfer learning** +- All models are **OPEN SOURCE**, **FREE** to download and use them in offline scenario. ### Recent updates - **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. @@ -28,7 +28,7 @@ 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 and free for download and offline usage. +- **Abundant Pre-trained Models**: 180+ pre-trained models covering the 4 major categories including Image, Text, Audio, and Video, all open source and free for download and offline usage. - **Quick Model Prediction**: Model prediction can be realized through a few lines of scripts to quickly experience the model effect. - **Model As Service**: A one-line command to build deep learning model API service deployment capabilities. - **Easy-to-use Transfer Learning**: Just few lines of code you can complete the transfer-learning task like image classification and text classification based on high quality pre-trained models. -- GitLab