bert base NER If my open source models have been useful to you, please consider supporting me in building small, useful AI models for everyone (and help me afford med school / help out my parents financially). Thanks! Model description 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 dataset. If you'd like to use a larger BERT large model fine tuned on the same dataset, a bert large NER version is also available. Available NER models Model Name Description Parameters distilbert NER (NEW!) Fine tuned DistilBERT a smaller, faster, lighter version of BERT 66M bert large NER Fine tuned bert large cased larger model with slightly better performance 340M bert base NER (uncased) Fine tuned bert base, available in both cased and uncased versions 110M Intended uses & limitations How to use You can use this model wit…
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