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est-roberta-hist-ner

Token Classification
Transformers
PyTorch
Safetensors
Estonian
camembert
NER
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metadata
language: et
license: cc-by-sa-4.0
inference: false

est-roberta-hist-ner

Model description

est-roberta-hist-ner is an Est-RoBERTa based model fine-tuned for named entity recognition in Estonian 19th century parish court records (for details, see this repository). The following types of entities are recognized: person names (PER), ambiguous locations-organizations (LOC_ORG), locations (LOC), organizations (ORG) and MISC (miscellaneous names).

How to use

Recommended usage of the model is with approriate pre- and postprocessing by EstNLTK. For an usage example, see this tutorial: https://github.com/soras/vk_ner_lrec_2022/blob/main/using_bert_ner_tagger.ipynb