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    Model catalog
    GLiNER2.5 Multi v1 logo

    GLiNER2.5 Multi v1

    Text Classification

    by Fastino

    DocsTry it now

    GLiNER2.5 Multi is a 287M-parameter multilingual information extraction model built on mDeBERTa-v3-base. It supports zero-shot named entity recognition, text classification, and structured JSON extraction across multiple languages, making it well suited for extracting people, organizations, locations, attributes, and other custom entities without task-specific retraining.

    Specifications

    Parameters

    287M

    Context length

    n/a

    Task

    Text Classification

    Provider

    Fastino

    Billing

    Per token

    API

    OpenAI-compatible

    Pricing

    Input

    $0.02

    per 1M tokens

    Output

    $0.05

    per 1M tokens

    Use cases

    PIIData Extraction
    Read the docsTry GLiNER2.5 Multi v1 now