chinese-bert-wwm-ext-upos

Model Description

This is a BERT model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging, derived from chinese-bert-wwm-ext. Every word is tagged by UPOS (Universal Part-Of-Speech).

How to Use

from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/chinese-bert-wwm-ext-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/chinese-bert-wwm-ext-upos")

See Also

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

New

Select AutoNLP in the “Train” menu to fine-tune this model automatically.

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Token Classification
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