Randeng-Transformer-1.1B-Denoise
- Github: Fengshenbang-LM
- Docs: Fengshenbang-Docs
简介 Brief Introduction
基于Transformer-XL的中文句子改写。
Paraphrase Chinese sentences based on Transformer-XL.
模型分类 Model Taxonomy
| 需求 Demand | 任务 Task | 系列 Series | 模型 Model | 参数 Parameter | 额外 Extra |
|---|---|---|---|---|---|
| 通用 General | 自然语言转换 NLT | 燃灯 Randeng | Transformer | 1.1B | 中文-改写 Chinese-Paraphrase |
模型信息 Model Information
在悟道语料库(280G版本)和标注的相似句子对数据集上进行预训练。
The Transformer-XL model was pre-trained on the Wudao Corpus (with 280G samples) and annotated similar-sentence pair dataset.
使用 Usage
加载模型 Loading Models
git clone https://github.com/IDEA-CCNL/Fengshenbang-LM.git
```python from fengshen.models.transfoxlparaphrase import TransfoXLModel from transformers import T5Tokenizer as TransfoXLTokenizer
model = TransfoXLModel.frompretrained('IDEA-CCNL/Randeng-TransformerXL-1.1B-Paraphrasing-Chinese') tokenizer = TransfoXLTokenizer.frompretrained('IDEA-CCNL/Randeng-TransformerXL-1.1B-Paraphrasing-Chinese', eostoken = '<|endoftext|>', extraids=0)
### 使用示例 Usage Examples
python
from fengshen.models.transfoxlparaphrase import paraphrasegeneratete
inputtext = "年轻教师选择农村学校，还是县城学校？"
res = paraphrasegenerate(model, tokenizer, inputtext, device=0)
print(res)
#
## 引用 Citation
如果您在您的工作中使用了我们的模型，可以引用我们的[论文](https://arxiv.org/abs/2209.02970)：
If you are using the resource for your work, please cite the our [paper](https://arxiv.org/abs/2209.02970):
text @article{fengshenbang, author = {Junjie Wang and Yuxiang Zhang and Lin Zhang and Ping Yang and Xinyu Gao and Ziwei Wu and Xiaoqun Dong and Junqing He and Jianheng Zhuo and Qi Yang and Yongfeng Huang and Xiayu Li and Yanghan Wu and Junyu Lu and Xinyu Zhu and Weifeng Chen and Ting Han and Kunhao Pan and Rui Wang and Hao Wang and Xiaojun Wu and Zhongshen Zeng and Chongpei Chen and Ruyi Gan and Jiaxing Zhang}, title = {Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence}, journal = {CoRR}, volume = {abs/2209.02970}, year = {2022} }
也可以引用我们的[网站](https://github.com/IDEA-CCNL/Fengshenbang-LM/):
You can also cite our [website](https://github.com/IDEA-CCNL/Fengshenbang-LM/):
text @misc{Fengshenbang-LM, title={Fengshenbang-LM}, author={IDEA-CCNL}, year={2021}, howpublished={\url{https://github.com/IDEA-CCNL/Fengshenbang-LM}}, } ```
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