提交 8c076ce0 编写于 作者: Z Zeyu Chen

update PaddleNLP README

上级 bbfd74a5
......@@ -6,7 +6,7 @@
## Introduction
PaddleNLP aims to accelerate NLP applications by powerful model zoo, easy-to-use API and detailed tutorials, It's also the NLP best practice for PaddlePaddle 2.0 API system.
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. **
......@@ -29,7 +29,7 @@ PaddleNLP aims to accelerate NLP applications by powerful model zoo, easy-to-use
* paddlepaddle >= 2.0.0-rc1
```
pip install paddlenlp
pip install paddlenlp==2.0.0a
```
## Quick Start
......@@ -37,7 +37,7 @@ pip install paddlenlp
### Quick Dataset Loading
```python
train_ds, test_ds = paddlenlp.datasets.ChnSentiCorp(['train','test'])
train_ds, test_ds = paddlenlp.datasets.ChnSentiCorp.get_datasets(['train','test'])
```
### Reusable Text Emebdding
......@@ -72,4 +72,4 @@ List our notebook tutorials based on AI Studio.
## License
PaddleNLP is provided under the [Apache-2.0 license](./LICENSE).
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PaddleNLP is provided under the [Apache-2.0 License](./LICENSE).
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......@@ -33,7 +33,7 @@ from paddlenlp.transformers.tokenizer_bert import BertTokenizer
from run_glue import convert_example, TASK_CLASSES
MODEL_CLASSES = {"bert": (BertForSequenceClassification, BertTokenizer), }
MODEL_CLASSES = {"bert": (BertForSequenceClassification, BertTokenizer) }
def parse_args():
......
......@@ -2,4 +2,4 @@
## Dialogue General Understanding
## PLATO
## PLATO-2
# Machine Translation
# Machine Translation 机器翻译
从最基础的LSTM Seq2Seq, 到Transformer和TransformerXL训练机器翻译模型
从最基础的LSTM Seq2Seq, 到Transformer训练机器翻译模型
## Seq2Seq
## Transformer
## Transformer-XL
# 文本生成 Text Generation
## 使用Seq2Seq模型完成自动对联模型
## [使用Seq2Seq模型完成自动对联](./couplet)
## Variational AutoEncoder(VAE) for Text Generation
## [使用Variational AutoEncoder(VAE)技术提升文本生成质量](./ernie-gen)
## 使用ERNIE-Gen模型实现自动写诗
## [通过ERNIE-Gen模型实现自动写诗](./ernie-gen)
# 使用Seq2Seq模型完成自动对联
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