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--- |
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language: |
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- zh |
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thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png |
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tags: |
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- pytorch |
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- token-classification |
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- albert |
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- zh |
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license: gpl-3.0 |
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datasets: |
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metrics: |
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--- |
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# CKIP ALBERT Base Chinese |
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This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-of-speech tagging, named entity recognition). |
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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）。 |
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## Homepage |
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* https://github.com/ckiplab/ckip-transformers |
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## Contributers |
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* [Mu Yang](https://muyang.pro) at [CKIP](https://ckip.iis.sinica.edu.tw) (Author & Maintainer) |
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## Usage |
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Please use BertTokenizerFast as tokenizer instead of AutoTokenizer. |
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請使用 BertTokenizerFast 而非 AutoTokenizer。 |
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``` |
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from transformers import ( |
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BertTokenizerFast, |
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AutoModelForTokenClassification, |
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) |
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tokenizer = BertTokenizerFast.from_pretrained('bert-base-chinese') |
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model = AutoModelForTokenClassification.from_pretrained('ckiplab/albert-base-chinese-ws') |
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``` |
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For full usage and more information, please refer to https://github.com/ckiplab/ckip-transformers. |
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有關完整使用方法及其他資訊，請參見 https://github.com/ckiplab/ckip-transformers 。 |
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