Chinese Bert Wwm Ext Upos

🚀 chinese-bert-wwm-ext-upos

This is a BERT model for POS-tagging and dependency-parsing. It is pre-trained on Chinese Wikipedia texts (both simplified and traditional) and derived from chinese-bert-wwm-ext. Each word is tagged by UPOS (Universal Part-Of-Speech), offering valuable insights for Chinese language processing.

🚀 Quick Start

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-bert-wwm-ext. Every word is tagged by UPOS (Universal Part-Of-Speech).

💻 Usage Examples

Basic Usage

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")

Advanced Usage

import esupar
nlp=esupar.load("KoichiYasuoka/chinese-bert-wwm-ext-upos")

📚 Documentation

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

📄 License

This model is licensed under the "apache-2.0" license.

📦 Information Table