add English Readme

PaddleNLP/README.md

+简体中文 | [English] (./README_en.md)
+
 # PaddleNLP
 
 ![License](https://img.shields.io/badge/license-Apache%202-red.svg)
@@ -8,7 +10,7 @@
 
 PaddleNLP aims to accelerate NLP applications through powerful model zoo, easy-to-use API with detailed tutorials, It's also the NLP best practice for PaddlePaddle 2.0 API system.
 
-** This project is still UNDER ACTIVE DEVELOPMENT. **
+**This project is still UNDER ACTIVE DEVELOPMENT.**
 
 ## Features
 
@@ -29,7 +31,7 @@ PaddleNLP aims to accelerate NLP applications through powerful model zoo, easy-t
 * paddlepaddle >= 2.0.0-rc1
 
 ```
-pip install paddlenlp==2.0.0a
+pip install paddlenlp>=2.0.0a
 ```
 
 ## Quick Start
@@ -37,8 +39,8 @@ pip install paddlenlp==2.0.0a
 ### Quick Dataset Loading
 
 ```python
-
 from paddlenlp.datasets import ChnSentiCrop
+
 train_ds, test_ds = ChnSentiCorp.get_datasets(['train','test'])
 ```
 
@@ -47,16 +49,19 @@ train_ds, test_ds = ChnSentiCorp.get_datasets(['train','test'])
 ```python
 
 from paddlenlp.embeddings import TokenEmbedding
-wordemb = TokenEmbedding("word2vec.baike.300d")
-print(wordemb.search("中国"))
->>> [0.260801, 0.1047, 0.129453 ... 0.096542, 0.0092513]
 
+wordemb = TokenEmbedding("w2v.baidu_encyclopedia.target.word-word.dim300")
+print(wordemb.cosine_sim("国王", "王后"))
+>>> 0.63395125
+wordemb.cosine_sim("艺术", "火车")
+>>> 0.14792643
 ```
 
 ### One-Line Classical Model Building
 
 ```python
 from paddlenlp.models import Ernie
+
 ernie = Ernie(Ernie.Task.SeqCls)
 ernie.forward(input_ids, segment_ids)
 ```
@@ -65,10 +70,11 @@ ernie.forward(input_ids, segment_ids)
 
 ```python
 from paddlenlp.transformers import ErnieModel, BertModel, RobertaModel, ElectraModel
+
 ernie = ErnieModel.from_pretrained('ernie-1.0')
-bert = BertModel.from_pretrained('bert-wwm-ext-large')
-electra = ElectraModel.from_pretrained('eclectra-chinese')
+bert = BertModel.from_pretrained('bert-wwm-chinese')
 roberta = RobertaModel.from_pretrained('roberta-wwm-ext')
+electra = ElectraModel.from_pretrained('chinese-electra-small')
 ```
 
 For more pretrained model selection, please refer to [PretrainedModels](./paddlenlp/transformers/README.md)

PaddleNLP/README_cn.md

-# PaddleNLP 中文README

PaddleNLP/README_en.md

+English | [简体中文] (./README.md)
+
+# PaddleNLP
+
+![License](https://img.shields.io/badge/license-Apache%202-red.svg)
+![python version](https://img.shields.io/badge/python-3.6+-orange.svg)
+![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
+
+## Introduction
+
+PaddleNLP aims to accelerate NLP applications through powerful model zoo, easy-to-use API with detailed tutorials, It's also the NLP best practice for PaddlePaddle 2.0 API system.
+
+**This project is still UNDER ACTIVE DEVELOPMENT.**
+
+## Features
+
+* **Rich and Powerful Model Zoo**
+  - Our Model Zoo covers mainstream NLP applications, including Lexical Analysis, Syntactic Parsing, Machine Translation, Text Classification, Text Generation, Text Matching, General Dialogue and Question Answering etc.
+* **Easy-to-use API**
+  - The API is fully integrated with PaddlePaddle high-level API system. It minimizes the number of user actions required for common use cases like data loading, text pre-processing, training and evaluation. which enables you to deal with text problems more productively.
+* **High Performance and Large-scale Training**
+  - We provide a highly optimized ditributed training implementation for BERT with Fleet API, it can fully utilize GPU clusters for large-scale model pre-training. Please refer to our [benchmark](./benchmark/bert) for more information.
+* **Detailed Tutorials and Industrial Practices**
+  - We offers detailed and interactable notebook tutorials to show you the best practices of PaddlePaddle 2.0.
+
+## Installation
+
+### Prerequisites
+
+* python >= 3.6
+* paddlepaddle >= 2.0.0-rc1
+
+```
+pip install paddlenlp>=2.0.0a
+```
+
+## Quick Start
+
+### Quick Dataset Loading
+
+```python
+from paddlenlp.datasets import ChnSentiCrop
+
+train_ds, test_ds = ChnSentiCorp.get_datasets(['train','test'])
+```
+
+### Chinese Text Emebdding Loading
+
+```python
+
+from paddlenlp.embeddings import TokenEmbedding
+
+wordemb = TokenEmbedding("w2v.baidu_encyclopedia.target.word-word.dim300")
+print(wordemb.cosine_sim("国王", "王后"))
+>>> 0.63395125
+wordemb.cosine_sim("艺术", "火车")
+>>> 0.14792643
+```
+
+### One-Line Classical Model Building
+
+```python
+from paddlenlp.models import Ernie
+
+ernie = Ernie(Ernie.Task.SeqCls)
+ernie.forward(input_ids, segment_ids)
+```
+
+### Rich Chinsese Pre-trained Models
+
+```python
+from paddlenlp.transformers import ErnieModel, BertModel, RobertaModel, ElectraModel
+
+ernie = ErnieModel.from_pretrained('ernie-1.0')
+bert = BertModel.from_pretrained('bert-wwm-chinese')
+roberta = RobertaModel.from_pretrained('roberta-wwm-ext')
+electra = ElectraModel.from_pretrained('chinese-electra-small')
+```
+
+For more pretrained model selection, please refer to [PretrainedModels](./paddlenlp/transformers/README.md)
+
+## API Usage
+
+* [Transformer API](./docs/transformers.md)
+* [Dataset API](./docs/datasets.md)
+* [Embedding API](./docs/embeddings.md)
+* [Metrics API](./docs/embeddings.md)
+* [Models API](./docs/models.md)
+
+## Tutorials
+
+Please refer to our official AI Studio account for more interactive tutorials: [PaddleNLP on AI Studio](https://aistudio.baidu.com/aistudio/personalcenter/thirdview/574995)
+
+## Community
+
+* SIG for Pretrained Model Contribution
+* SIG for Dataset Integration
+* SIG for Tutorial Writing
+
+## License
+
+PaddleNLP is provided under the [Apache-2.0 License](./LICENSE).