---
title: GLiNER2.5 Multi — Zero-Shot Information Extraction
emoji: 🔍
colorFrom: green
colorTo: pink
sdk: gradio
sdk_version: 6.25.0
app_file: app.py
short_description: Zero-shot entity, classification, relation extraction
python_version: "3.12"
startup_duration_timeout: 30m
---

Zero-shot multilingual information extraction with [fastino/gliner2.5-multi-v1](https://huggingface.co/fastino/gliner2.5-multi-v1).

Supports four tasks, all with user-defined labels — no retraining needed:

- **Entity Extraction** — detect named entities (person, organization, product, …)
- **Text Classification** — single or multi-label zero-shot classification
- **Relation Extraction** — identify relationships between entities
- **Structured Data Extraction** — parse unstructured text into typed JSON records

The model is a 287M-parameter boundary-architecture encoder (mDeBERTa-v3-base) supporting 4096-token context and multiple languages.

## License

Apache-2.0