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albert-tiny-chinese-ws
ckiplab/albert-tiny-chinese-ws
albert-tiny-chinese-ws is a token classification model from ckiplab. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as gpl-3.0.
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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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- gpl-3.0
- Model type
- albert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 10, 2022
- SHA
- 097a391d
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Model card
From the Hugging Face model README
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
Contributers
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-ws')
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 。
- Task
- Token Classification
- Library
- transformers
- Type
- albert
- License
- gpl-3.0
- Languages
- zh
- Created
- Mar 2, 2022
- Updated
- May 10, 2022