# Multi-category entity labeling

Catalan named entity recognition model based on RoBERTa architecture, fine-tuned on the AnCora-Ca-NER dataset

This model is a fine-tuned version of EstBERT on an Estonian NER dataset, designed to identify named entities in Estonian text.

A fine-tuned version based on the Spanish BERT cased model (BETO) on the NER-C dataset, specifically designed for Named Entity Recognition (NER) tasks.

A Hungarian named entity recognition model fine-tuned based on SZTAKI-HLT/hubert-base-cc, trained using the WikiANN dataset.

Slovak named entity recognition model fine-tuned on FERNET-CC_sk, supporting recognition of three entity types: locations, persons, and organizations

A Turkish named entity recognition model fine-tuned based on the dbmdz/bert-base-turkish-cased model, capable of recognizing entities such as person names, organization names, and location names.