AI Models
    LID Lite 5

    LID Lite 5

    LID family · open weights on Hugging Face.

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

    Language DetectionZero DependencyLogistic RegressionTf IdfNigerian LanguagesLidYorubaIgboHausaNigerian PidginEnglishLicence: apache-2.0
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    May 2026
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    / 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.pyfrom 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

    Ready to try LID Lite 5?

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

    / Model ecosystem

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