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urchade/gliner_large-v2.1

GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite th...

Overview

Architecture
DeBERTa
Parameters
435M
Tasks
Extract
Outputs
Entities
License
apache-2.0
Languages
multilingual

Benchmarks

CoNLL-2003

news ner en

Named entity recognition on Reuters newswire text

Corpus: 3,453 Queries: 3,453
Quality
f1 0.5483
precision 0.4747
recall 0.6487
Performance L4 b1 c16
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