# Spanish NER

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.

Large-scale Spanish 4-class NER model included in the Flair framework, built on XLM-R embeddings and FLERT technology

A named entity recognition model fine-tuned based on Spanish TinyBERT, with a size of only 55MB, suitable for entity recognition tasks in Spanish text.

A Spanish named entity recognition (NER) model based on the RoBERTa architecture, pre-trained on the BNE corpus and fine-tuned on the CAPITEL dataset, with optimized performance for lowercase named entity recognition.

Named entity recognition model fine-tuned on the Spanish CoNLL-2002 dataset based on XLM-RoBERTa-large

This model is a Spanish named entity recognition model based on the RoBERTa architecture, pre-trained on the large-scale BNE corpus and fine-tuned using the CAPITEL-NERC dataset

Spanish named entity recognition model based on RoBERTa architecture, pre-trained on BNE corpus and fine-tuned on CAPITEL-NERC dataset

This model is a Spanish named entity recognition model based on the RoBERTa architecture, pretrained on the large-scale corpus from the Spanish National Library and fine-tuned on the CAPITEL NER dataset.