XLMR ENIS Finetuned Ner
This model is a named entity recognition model fine-tuned on the conll2003 dataset based on XLMR-ENIS, supporting English and Icelandic.
Sequence Labeling
Transformers Supports Multiple Languages#Multilingual NER#High-precision entity recognition#CoNLL2003 fine-tuning

Downloads 90
Release Time : 3/2/2022
Model Overview
This is a multilingual named entity recognition model, specifically optimized for English and Icelandic, and performs excellently on the conll2003 dataset.
Model Features
High-precision named entity recognition
Achieves an F1 score of 94.58% on the conll2003 dataset, demonstrating excellent performance
Multilingual support
Specially optimized for entity recognition in English and Icelandic
Efficient training
Only requires 3 training epochs to achieve high performance
Model Capabilities
Text entity recognition
Multilingual processing
Token classification
Use Cases
Natural Language Processing
News text entity extraction
Identify entities such as person names, locations, and organizations from news articles
F1 score reaches 94.58%
Multilingual text analysis
Process entity recognition in mixed English and Icelandic texts
Featured Recommended AI Models
Š 2025AIbase