readme: ---
  language:
    - zh
  thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
  tags:
    - pytorch
    - token-classification
    - albert
    - zh
  license: gpl-3.0
  ---
  
  # CKIP ALBERT Tiny Chinese
  
  This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-of-speech tagging, named entity recognition).
  
  這個專案提供了繁體中文的 transformers 模型（包含 ALBERT、BERT、GPT2）及自然語言處理工具（包含斷詞、詞性標記、實體辨識）。
  
  ## Homepage
  
  - https://github.com/ckiplab/ckip-transformers
  
  ## Contributers
  
  - [Mu Yang](https://muyang.pro) at [CKIP](https://ckip.iis.sinica.edu.tw) (Author & Maintainer)
  
  ## Usage
  
  Please use BertTokenizerFast as tokenizer instead of AutoTokenizer.
  
  請使用 BertTokenizerFast 而非 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.
  
  有關完整使用方法及其他資訊，請參見 https://github.com/ckiplab/ckip-transformers 。
  