
# bert-ancient-chinese-base-upos

## Model Description

This is a BERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from [bert-ancient-chinese](https://huggingface.co/Jihuai/bert-ancient-chinese). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).

## How to Use

```py
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")
```

or

```py
import esupar
nlp=esupar.load("KoichiYasuoka/bert-ancient-chinese-base-upos")
```

## See Also

[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models


{"language": ["lzh"], "license": "apache-2.0", "tags": ["classical chinese", "literary chinese", "ancient chinese", "token-classification", "pos", "dependency-parsing"], "datasets": ["universal_dependencies"], "pipeline_tag": "token-classification", "widget": [{"text": "\u5b50\u66f0\u5b78\u800c\u6642\u7fd2\u4e4b\u4e0d\u4ea6\u8aac\u4e4e\u6709\u670b\u81ea\u9060\u65b9\u4f86\u4e0d\u4ea6\u6a02\u4e4e\u4eba\u4e0d\u77e5\u800c\u4e0d\u614d\u4e0d\u4ea6\u541b\u5b50\u4e4e"}]}
transformers pytorch bert token-classification classical chinese literary chinese ancient chinese pos dependency-parsing lzh dataset:universal_dependencies license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #classical chinese #literary chinese #ancient chinese #pos #dependency-parsing #lzh #dataset-universal_dependencies #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# bert-ancient-chinese-base-upos

## Model Description

This is a BERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from bert-ancient-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.

## How to Use



or



## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models


# bert-ancient-chinese-base-upos ## Model Description

This is a BERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from bert-ancient-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS. ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
TAGS
#transformers #pytorch #bert #token-classification #classical chinese #literary chinese #ancient chinese #pos #dependency-parsing #lzh #dataset-universal_dependencies #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # bert-ancient-chinese-base-upos ## Model Description

This is a BERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from bert-ancient-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS. ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
passage: TAGS
#transformers #pytorch #bert #token-classification #classical chinese #literary chinese #ancient chinese #pos #dependency-parsing #lzh #dataset-universal_dependencies #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# bert-ancient-chinese-base-upos## Model Description

This is a BERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from bert-ancient-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.## How to Use



or## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models