pytorch jax roberta token-classification zh transformers chinese classical chinese literary chinese ancient chinese bert license:apache-2.0 autotrain_compatible
---
language: 
- "zh"
thumbnail: "https://user-images.githubusercontent.com/9592150/97142000-cad08e00-179a-11eb-88df-aff9221482d8.png"
tags:
- "chinese"
- "classical chinese"
- "literary chinese"
- "ancient chinese"
- "bert"
- "pytorch"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "及秦始皇，灭先代典籍，焚书坑儒，天下学士逃难解散，我先人用藏其家书于屋壁。汉室龙兴，开设学校，旁求儒雅，以阐大猷。济南伏生，年过九十，失其本经，口以传授，裁二十馀篇，以其上古之书，谓之尚书。百篇之义，世莫得闻。"
---

# Guwen NER

A Classical Chinese Named Entity Recognizer.

Note: There are some problems with decoding using the default sequence classification model. Use the CRF model to achieve the best results. CRF related code please refer to
[Guwen Models](https://github.com/ethan-yt/guwen-models).

See also: 

<a href="https://github.com/ethan-yt/guwen-models">
  <img align="center" width="400" src="https://github-readme-stats.vercel.app/api/pin/?username=ethan-yt&repo=guwen-models&bg_color=30,e96443,904e95&title_color=fff&text_color=fff&icon_color=fff&show_owner=true" />
</a>
<a href="https://github.com/ethan-yt/cclue/">
  <img align="center" width="400" src="https://github-readme-stats.vercel.app/api/pin/?username=ethan-yt&repo=cclue&bg_color=30,e96443,904e95&title_color=fff&text_color=fff&icon_color=fff&show_owner=true" />
</a>
<a href="https://github.com/ethan-yt/guwenbert/">
  <img align="center" width="400" src="https://github-readme-stats.vercel.app/api/pin/?username=ethan-yt&repo=guwenbert&bg_color=30,e96443,904e95&title_color=fff&text_color=fff&icon_color=fff&show_owner=true" />
</a>