
# xlm-roberta-large-ner-spanish

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.
{"language": ["es"], "datasets": ["CoNLL-2002"], "widget": [{"text": "Las oficinas de MMG est\u00e1n en Las Rozas."}]}
transformers pytorch safetensors xlm-roberta token-classification es dataset:CoNLL-2002 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #xlm-roberta #token-classification #es #dataset-CoNLL-2002 #autotrain_compatible #endpoints_compatible #has_space #region-us 


# xlm-roberta-large-ner-spanish

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.
# xlm-roberta-large-ner-spanish

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.
TAGS
#transformers #pytorch #safetensors #xlm-roberta #token-classification #es #dataset-CoNLL-2002 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # xlm-roberta-large-ner-spanish

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.
passage: TAGS
#transformers #pytorch #safetensors #xlm-roberta #token-classification #es #dataset-CoNLL-2002 #autotrain_compatible #endpoints_compatible #has_space #region-us 
# xlm-roberta-large-ner-spanish

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.