dslim/bert-base-NER is a BERT model fine-tuned on the CoNLL-2003 dataset for named entity recognition (NER). It identifies entities such as persons, organizations, locations, and miscellaneous names in English text. The model is available on Hugging Face with ready-to-use pipelines for Transformers, making it easy for developers to integrate into NLP applications.
In the Classification & entity recognition space, Bert Base NER takes a focused approach. Automatically identifying and classifying named entities such as persons, organizations, and locations in unstructured text. Bert Base NER is an open-source project aimed at machine learning engineers. Bert Base NER is open source under the Apache-2.0 license. Bert Base NER is available on the web and API.
It is developed by dslim, and it first shipped in 2018. The GitHub repository has been archived. Among its 3 catalogued features are named entity recognition, token classification, and coNLL-2003 support.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do