mrm8488/bert-spanish-cased-finetuned-ner

This model is a fine-tuned on NER-C version of the Spanish BERT cased (BETO) for NER downstream task . Fine-tune was created by Manuel Romero/@mrm8488 in Spain and created by Huggingface . The model is based on a dataset from CONLL Corpora ES and split it as train / dev (80/20) The model has been used in the past to fine tune with NER down-downing tasks . The data set was created using a dataset that was split between train/dev and dev . The dataset was split into two categories: train or dev . It was used to fine-test the,