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albert-base-chinese-ner
ckiplab/albert-base-chinese-ner
albert-base-chinese-ner 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
- ef1b1922
Try a prompt
Model card
From the Hugging Face model README
CKIP ALBERT Base 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-base-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 。
- Task
- Token Classification
- Library
- transformers
- Type
- albert
- License
- gpl-3.0
- Languages
- zh
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- May 10, 2022