Bert Tiny Chinese Pos

🚀 CKIP BERT Tiny Chinese

This project offers traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-of-speech tagging, named entity recognition), providing valuable resources for Chinese NLP tasks.

🚀 Quick Start

Please use BertTokenizerFast as the tokenizer instead of AutoTokenizer.

from transformers import (
  BertTokenizerFast,
  AutoModel,
)

tokenizer = BertTokenizerFast.from_pretrained('bert-base-chinese')
model = AutoModel.from_pretrained('ckiplab/bert-tiny-chinese-pos')

For full usage and more information, please refer to https://github.com/ckiplab/ckip-transformers.

✨ Features

This project provides traditional Chinese transformers models and NLP tools, which can be used for word segmentation, part - of - speech tagging, named entity recognition and other tasks.

📚 Documentation

Homepage

• https://github.com/ckiplab/ckip-transformers

Contributers

• Mu Yang at CKIP (Author & Maintainer)

📄 License

This project is licensed under the GPL - 3.0 license.