AI Models
    LID Neural 25.2

    OlaverseLID Neural 25.2

    LID family · open weights on Hugging Face.

    Neural language identification across 25 world languages.

    Safetensors
    Xlm Roberta
    Language Identification
    Text Classification
    Af
    Am
    De
    English
    Fr
    Hausa
    Hi
    Igbo
    Id
    It
    Ja
    Ko
    Nl
    Pl
    Pt
    Ru
    Sn
    So
    Es
    Sw
    Tr
    Vi
    Xh
    Yoruba
    Zu
    Base: FacebookAI/xlm-roberta-base
    Base: FacebookAI/xlm-roberta-base
    Licence: apache-2.0
    0
    Likes
    59
    Downloads
    Jul 2026
    Created

    Model Card

    Built for production use.

    Open-weights repository on Hugging Face

    Integrated ecosystem protocol tier.

    Compatible with Transformers library

    Integrated ecosystem protocol tier.

    Optimised for low-latency inference

    Integrated ecosystem protocol tier.

    Community engagement: 0 likes

    Integrated ecosystem protocol tier.

    Quick Start

    Use LID Neural 25.2, straight from its model card.

    example.py
    from the model card
    from transformers import pipeline
    clf = pipeline("text-classification", model="olaverse/lid-neural-25.2") # or .1 for passages
    result = clf("What causes ocean tides?")
    print(result) # [{'label': 'eng', 'score': 0.999...}]
    Model Card

    Official Repository README

    Dynamically loaded from Hugging Face

    Model card metadata is available on Hugging Face.

    Built with

    Transformers PyTorch Python
    Built by Olaverse Labs

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    Neural language identification across 25 world languages.

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