Update README.md

README.md

@@ -1,4 +1,40 @@
 ---
 library_name: paddlenlp
+license: apache-2.0
+language:
+- en
 ---
-# PaddlePaddle/ernie-2.0-large-en
+# PaddlePaddle/ernie-2.0-large-en
+
+## Introduction
+
+Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing. 
+Current pre-training procedures usually focus on training the model with several simple tasks to grasp the co-occurrence of words or sentences. However, besides co-occurring, 
+there exists other valuable lexical, syntactic and semantic information in training corpora, such as named entity, semantic closeness and discourse relations. 
+In order to extract to the fullest extent, the lexical, syntactic and semantic information from training corpora, we propose a continual pre-training framework named ERNIE 2.0
+which builds and learns incrementally pre-training tasks through constant multi-task learning. 
+Experimental results demonstrate that ERNIE 2.0 outperforms BERT and XLNet on 16 tasks including English tasks on GLUE benchmarks and several common tasks in Chinese.
+
+More detail: https://arxiv.org/abs/1907.12412
+
+## Available Models
+
+- ernie-2.0-base-en
+- ernie-2.0-large-en
+- ernie-2.0-base-zh
+- ernie-2.0-large-zh
+
+## How to Use?
+
+Click on the *Use in paddlenlp* button on the top right!
+
+## Citation Info
+
+```text
+@article{ernie2.0,
+  title = {ERNIE 2.0: A Continual Pre-training Framework for Language Understanding},
+  author = {Sun, Yu and Wang, Shuohuan and Li, Yukun and Feng, Shikun and Tian, Hao and Wu, Hua and Wang, Haifeng},
+  journal={arXiv preprint arXiv:1907.12412},
+  year = {2019},
+}
+```