README.md

metadata

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.

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