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chinese-roberta-large-upos

Model Description

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

How to Use

from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/chinese-roberta-large-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/chinese-roberta-large-upos")

or

import esupar
nlp=esupar.load("KoichiYasuoka/chinese-roberta-large-upos")

See Also

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

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Token Classification
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This model can be loaded on the Inference API on-demand.

Dataset used to train KoichiYasuoka/chinese-roberta-large-upos