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knowledgator/modern-gliner-bi-base-v1.0

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

Overview

Architecture
Parameters
null
Tasks
Extract
Outputs
Entities
Max Sequence Length
2,048 tokens
License
apache-2.0
Languages
en

Benchmarks

CoNLL-2003

news ner en

Named entity recognition on Reuters newswire text

Corpus: 3,453 Queries: 3,453
Quality
f1 0.6644
precision 0.6890
recall 0.6415
Performance L4 b1 c16
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