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urchade/gliner_medium-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...

Architecture
DeBERTa
Parameters
195M
Tasks
Extract
Outputs
Entities
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 0.6111
precision 0.6008
recall 0.6218
Performance L4 b1 c16
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