
# 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>
{"language": ["zh"], "license": "apache-2.0", "tags": ["chinese", "classical chinese", "literary chinese", "ancient chinese", "bert", "pytorch"], "thumbnail": "https://user-images.githubusercontent.com/9592150/97142000-cad08e00-179a-11eb-88df-aff9221482d8.png", "pipeline_tag": "token-classification", "widget": [{"text": "\u53ca\u79e6\u59cb\u7687\uff0c\u706d\u5148\u4ee3\u5178\u7c4d\uff0c\u711a\u4e66\u5751\u5112\uff0c\u5929\u4e0b\u5b66\u58eb\u9003\u96be\u89e3\u6563\uff0c\u6211\u5148\u4eba\u7528\u85cf\u5176\u5bb6\u4e66\u4e8e\u5c4b\u58c1\u3002\u6c49\u5ba4\u9f99\u5174\uff0c\u5f00\u8bbe\u5b66\u6821\uff0c\u65c1\u6c42\u5112\u96c5\uff0c\u4ee5\u9610\u5927\u7337\u3002\u6d4e\u5357\u4f0f\u751f\uff0c\u5e74\u8fc7\u4e5d\u5341\uff0c\u5931\u5176\u672c\u7ecf\uff0c\u53e3\u4ee5\u4f20\u6388\uff0c\u88c1\u4e8c\u5341\u9980\u7bc7\uff0c\u4ee5\u5176\u4e0a\u53e4\u4e4b\u4e66\uff0c\u8c13\u4e4b\u5c1a\u4e66\u3002\u767e\u7bc7\u4e4b\u4e49\uff0c\u4e16\u83ab\u5f97\u95fb\u3002"}]}
transformers pytorch jax roberta token-classification chinese classical chinese literary chinese ancient chinese bert zh license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #roberta #token-classification #chinese #classical chinese #literary chinese #ancient chinese #bert #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# 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.

See also: 

<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>
# 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.

See also: 

<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>
TAGS
#transformers #pytorch #jax #roberta #token-classification #chinese #classical chinese #literary chinese #ancient chinese #bert #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # 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.

See also: 

<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>
passage: TAGS
#transformers #pytorch #jax #roberta #token-classification #chinese #classical chinese #literary chinese #ancient chinese #bert #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# 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.

See also: 

<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>
<a href="URL
  <img align="center" width="400" src="URL />
</a>