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urchade/gliner_multi_pii-v1

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Primitive: /extract · Extract · DeBERTa

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...

View on Hugging Face → Guide: GLiNER model guide →

Overview

Hardware: L4RTX-PRO-6000 — drives latency, throughput & cost

Size	435M params
Tasks	/extract
License	apache-2.0
Languages	en, fr, de, es, pt, it
Latency	66 ms
Throughput	23.3K tok/s
Cost	$0.0096 /1M tok

Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.

Extraction

Output kinds	Entities
Inputs	text
Max sequence length	384

Benchmarks