Update README.md

README.md

@@ -6,4 +6,40 @@ library_name: paddlenlp
 tags:
   - conversational
 ---
-PaddleNLP playing with 🤗 Huggingface Hub!
+
+[![paddlenlp-banner](https://user-images.githubusercontent.com/1371212/175816733-8ec25eb0-9af3-4380-9218-27c154518258.png)](https://github.com/PaddlePaddle/PaddleNLP)
+
+# PaddlePaddle/plato-mini
+
+## Introduction
+
+Pre-training models have been proved effective for a wide range of natural language processing tasks. 
+Inspired by this, we propose a novel dialogue generation pre-training framework to support various kinds of conversations, 
+including chit-chat, knowledge grounded dialogues, and conversational question answering. In this framework, we adopt flexible 
+attention mechanisms to fully leverage the bi-directional context and the uni-directional characteristic of language generation. 
+We also introduce discrete latent variables to tackle the inherent one-to-many mapping problem in response generation. 
+Two reciprocal tasks of response generation and latent act recognition are designed and carried out simultaneously within a shared network. 
+Comprehensive experiments on three publicly available datasets verify the effectiveness and superiority of the proposed framework.
+
+More detail: https://arxiv.org/abs/1910.07931
+
+## Available Models
+
+- **plato-mini**, *12 layer, 12 heads, 768 hidden size, pretrained model*
+
+## How to Use?
+
+Click on the *Use in paddlenlp* button on the top right!
+
+## Citation Info
+
+```text
+@article{ernie2.0,
+  title = {PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable},
+  author = {Bao, Siqi and He, Huang and Wang, Fan and Wu, Hua and Wang, Haifeng},
+  journal={arXiv preprint arXiv:1910.07931},
+  year = {2019},
+}
+```
+
+