# CoNLL2003 Fine-tuning

A named entity recognition model fine-tuned on ModernBERT-base, trained on the CoNLL2003 dataset, excelling at identifying person, organization, and location entities.

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the conll2003 dataset

This model is a fine-tuned version of distilbert-base-uncased on the conll2003 dataset, designed for token classification tasks.

This model is a lightweight version based on DistilBERT, fine-tuned on the conll2003 dataset for named entity recognition tasks.

This is a lightweight model based on DistilBERT, fine-tuned on the CoNLL-2003 Named Entity Recognition (NER) task.

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the conll2003 dataset

BERT-base based named entity recognition model, capable of identifying four types of entities including locations, organizations, and person names

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the conll2003 dataset

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the conll2003 dataset, featuring efficient inference performance and high accuracy.

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the CoNLL2003 dataset

Named entity recognition model fine-tuned on the CoNLL2003 dataset based on distilroberta-base

This model is a Named Entity Recognition (NER) model fine-tuned on the CoNLL2003 dataset based on BERT-tiny

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the conll2003 dataset

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the conll2003 dataset

A multilingual named entity recognition model fine-tuned on the German CoNLL-2003 dataset based on XLM-RoBERTa-large

A lightweight named entity recognition model based on DistilBERT, fine-tuned on the conll2003 dataset