distilbert 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 distilbert NER is the fine tuned version of DistilBERT , which is a distilled variant of the BERT model. DistilBERT has fewer parameters than BERT, making it smaller, faster, and more efficient. distilbert NER is specifically fine tuned for the task of Named Entity Recognition (NER) . This model accurately identifies the same four types of entities as its BERT counterparts: location (LOC), organizations (ORG), person (PER), and Miscellaneous (MISC). Although it is a more compact model, distilbert NER demonstrates a robust performance in NER tasks, balancing between size, speed, and accuracy. The model was fine tuned on the English version of the CoNLL 2003 Named Entity Recognition dataset, which is widely recognized for its comprehensive and diverse range of entity types. Available NER models Model Name Description Parameters distilbert NER Fine tuned DistilBERT a smaller, faster, lighter version of BERT 66M bert large NER Fine tuned bert large case…
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