tartuNLP/EstBERT_NER

The EstBERT model was trained on the Estonian NER dataset created by Tkachenko et al. It can recognize three types of entities: locations (LOC), organizations (ORG) and persons (PER) You can use this model with Transformers pipeline for NER. Post-processing of results may be necessary as the model occasionally tags subword tokens as entities . The model can be used for Named Entity Recognition. It is a fine-tuned model that can’t be used in NER training. The model is based on a language-specific Estonian dataset that has been trained on. It has been used in the past for training purposes in the model.,