---
title: pai-bert-tiny-zh
canonical_url: "https://www.modelscope.cn/models/pengzhendong/pai-bert-tiny-zh"
md_url: "https://www.modelscope.cn/models/pengzhendong/pai-bert-tiny-zh.md"
repository: pengzhendong/pai-bert-tiny-zh
last_updated: 2024-11-13
license: apache-2.0
pipeline_tag: fill-mask
tasks:
  - fill-mask
model_type:
  - bert
library_name:
  - pytorch
frameworks:
  - Pytorch
language:
  - zh
downloads: 18
stars: 1
tags:
  - bert
---

# pai-bert-tiny-zh

> pai-bert-tiny-zh - pengzhendong 在 ModelScope 开源的模型。Alibaba PAI BERT Tiny Chinese

pengzhendong/pai-bert-tiny-zh 是 ModelScope 魔搭社区上的fill-mask模型，采用 apache-2.0 许可。

- **Repository**: pengzhendong/pai-bert-tiny-zh
- **License**: apache-2.0
- **Tasks**: fill-mask
- **Tags**: bert
- **Downloads**: 18
- **Stars**: 1
- **Last updated**: 2024-11-13

Source: https://www.modelscope.cn/models/pengzhendong/pai-bert-tiny-zh

---

## Alibaba PAI BERT Tiny Chinese

This project provides Chinese pre-trained language models and various types of NLP tools. The models are pre-trained on the large-scale corpora hosted by the Alibaba PAI team. It is developed based on the EasyNLP framework (https://github.com/alibaba/EasyNLP).
## Citation

If you find the resource is useful, please cite the following paper in your work:
```
@article{easynlp, 
title = {EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing},
publisher = {arXiv}, 
author = {Wang, Chengyu and Qiu, Minghui and Zhang, Taolin and Liu, Tingting and Li, Lei and Wang, Jianing and Wang, Ming and Huang, Jun and Lin, Wei}, 
url = {https://arxiv.org/abs/2205.00258}, 
year = {2022} 
} 
```