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    Model catalog
    GLiNER2.5 Base v1 logo

    GLiNER2.5 Base v1

    Text Classification

    by Fastino

    DocsTry it now

    GLiNER2.5 Base is an English schema-based information extraction model built on DeBERTa-v3-base. It can handle entity extraction, text classification, structured record extraction, relation extraction, and span-level attributes with a single model.

    Useful for GTM workflows like parsing inbound leads, extracting company and contact details, classifying sales conversations, identifying relationships between people and companies, structuring CRM notes, and enriching customer or account data.

    Specifications

    Parameters

    194M

    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 Base v1 now