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.
Bert Base NER sits in PulseGate's Other AI category. 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. The project is open source (Apache-2.0). It runs on the web and API.
Behind Bert Base NER is dslim, and the product 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 The GitHub repository has been archived.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.
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dslim/bert-base-NER verified by the PulseGate indexer
⚠ Archived
