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KoichiYasuoka
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roberta-base-chinese-ud-goeswith

Token Classification
Transformers
PyTorch
Chinese
roberta
chinese
pos
dependency-parsing
Inference Endpoints
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roberta-base-chinese-ud-goeswith / README.md
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metadata
language:
  - zh
tags:
  - chinese
  - token-classification
  - pos
  - dependency-parsing
base_model: KoichiYasuoka/roberta-base-chinese-upos
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification

roberta-base-chinese-ud-goeswith

Model Description

This is a RoBERTa model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-base-chinese-upos.

How to Use 

from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-base-chinese-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("我把这本书看完了"))

Reference

Koichi Yasuoka: Sequence-Labeling RoBERTa Model for Dependency-Parsing in Classical Chinese and Its Application to Vietnamese and Thai, ICBIR 2023: 8th International Conference on Business and Industrial Research (May 2023), pp.169-173.