ckiplab/bert-base-chinese-ner is an open-source transformer model trained for token classification and named entity recognition tasks on traditional Chinese. It can be used via the Hugging Face Transformers library for both inference and further fine-tuning. The model is provided by CKIP Lab and is available under a GPL-3.0 license.
Bert Base Chinese Ner is a Classification & entity recognition project. It focuses on identifying and classifying named entities in traditional Chinese text at scale. Bert Base Chinese Ner is an open-source project aimed at developers. Bert Base Chinese Ner is open source under the GPL-3.0 license. It ships for the web and API.
CKIP Lab builds and maintains Bert Base Chinese Ner, and it first shipped in 2020. Development happens publicly on GitHub with 768 stars. Key capabilities include Named Entity Recognition, Chinese Text Support, and Transformers Compatible.
Summary written by a language model from the project’s public pages.
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