Why did we open-source our inference engine? Read the post

fastino/gliner2-base-v1

> Extract entities, classify text, parse structured data, and extract relations—all in one efficient model.

Overview

Architecture
extractor
Parameters
208M
Tasks
Extract
Outputs
Entities
Max Sequence Length
512 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 0.5194
precision 0.4300
recall 0.6558
Performance L4 b1 c16
Reference →

Open source inference for agents

Open-source inference for the models behind your agents. Run it yourself, or let us run it for you.

Github 2.1K

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