AI Models
    LID Lite 5

    OlaverseLID Lite 5

    LID family · open weights on Hugging Face.

    Zero-dependency language identification across Nigerian languages (Yorùbá, Igbo, Hausa, Pidgin, English).

    Language Detection
    Zero Dependency
    Logistic Regression
    Tf Idf
    Nigerian Languages
    Lid
    Yoruba
    Igbo
    Hausa
    Nigerian Pidgin
    English
    Licence: apache-2.0
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    Likes
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    Downloads
    May 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 Lite 5, straight from its model card.

    example.py
    from the model card
    from olaverse import LIDLite5
    # Automatically downloads and loads the model on demand
    detector = LIDLite5()
    # 1. Predict dominant language
    lang = detector.predict("Bawo ni, se daadaa ni?")
    print(f"Predicted language: {lang}") # -> 'yor'
    # 2. Get probability distributions
    probs = detector.predict_proba("How far, wetin dey happen?")
    print(probs)
    # -> {'eng': 0.001, 'hau': 0.000, 'ibo': 0.000, 'pcm': 0.998, 'yor': 0.001}
    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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    Zero-dependency language identification across Nigerian languages (Yorùbá, Igbo, Hausa, Pidgin, English).

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