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 **bert-base-NER** is a fine-tuned BERT model that is ready to use for **Named Entity Recognition** and achieves **state-of-the-art performance** for the NER task. It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PER) and Miscellaneous (MISC). 
 
 Specifically, this model is a *bert-base-cased* model that was fine-tuned on the English version of the standard [CoNLL-2003 Named Entity Recognition](https://www.aclweb.org/anthology/W03-0419.pdf) dataset. 
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+If you'd like to use a larger BERT-large model fine-tuned on the same dataset, a [bert-large-NER](https://huggingface.co/dslim/bert-large-NER/edit/main/README.md) version is also available. 
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 ## Intended uses & limitations
 
 #### How to use