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MMG/xlm-roberta-large-ner-spanish
xlm-roberta-large-ner-spanish is a token classification model from MMG. Use it when you need labels on individual words, such as names. It is set up for transformers.
This model is a XLM-Roberta-large model fine-tuned for Named Entity Recognition (NER) over the Spanish portion of the CoNLL-2002 dataset. Evaluating it over the test subset of this dataset, we get a F1-score of 89.17,…
Downloads · 30 days
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From the Hugging Face model README
This model is a XLM-Roberta-large model fine-tuned for Named Entity Recognition (NER) over the Spanish portion of the CoNLL-2002 dataset. Evaluating it over the test subset of this dataset, we get a F1-score of 89.17, being one of the best NER for Spanish available at the moment.