Bert Tiny Chinese Ner

🚀 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).

🚀 Quick Start

This project provides traditional Chinese transformers models and NLP tools. You can quickly get started by following the usage examples below.

✨ Features

• Provide traditional Chinese transformers models: ALBERT, BERT, GPT2.
• Offer NLP tools: word segmentation, part-of-speech tagging, named entity recognition.

📦 Installation

The document does not provide installation steps, so this section is skipped.

💻 Usage Examples

Basic Usage

# Please use BertTokenizerFast as tokenizer instead of AutoTokenizer.
from transformers import (
  BertTokenizerFast,
  AutoModel,
)

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

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

📚 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.