Albert Tiny Chinese Ner

🚀 CKIP ALBERT 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. For more details, you can refer to the homepage.

✨ Features

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

📦 Installation

No specific installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

Basic Usage

⚠️ Important Note

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/albert-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

📄 License

This project is licensed under the GPL - 3.0 license.

👥 Contributers

• Mu Yang at CKIP (Author & Maintainer)