# 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("word2vec.baike.300d")
print(wordemb.search("中国"))
>>> [0.260801, 0.1047, 0.129453 ... 0.096542, 0.0092513]

```

### 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-ext-large')
electra = ElectraModel.from_pretrained('eclectra-chinese')
roberta = RobertaModel.from_pretrained('roberta-wwm-ext')
```

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

List our notebook tutorials based on AI Studio.
TBD

## Community

* SIG for Pretrained Model Contribution
* SIG for Dataset Integration
TBD

## FAQ

## License

PaddleNLP is provided under the [Apache-2.0 License](./LICENSE).