LID

    LID

    Two coverage tiers and multiple efficiency options: zero-dependency logistic-regression classifiers, fastText, and neural models built on XLM-R, AfriBERTa, and our own ModernBERT Nigerian encoder.

    LID

    lid-neural-5

    Neural language identification across Nigerian languages (YorĂčbĂĄ, Igbo, Hausa, Pidgin, English).

    168 0
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    LID

    lid-lite-5

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

    0 0
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    LID

    lid-neural-5.1

    Neural language identification across Nigerian languages (YorĂčbĂĄ, Igbo, Hausa, Pidgin, English).

    105 0
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    LID

    lid-lite-25

    fastText language identification across 25 world languages.

    64 0
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    LID

    lid-neural-25.1

    Neural language identification across 25 world languages.

    61 0
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    LID

    lid-neural-25.2

    Neural language identification across 25 world languages.

    59 0
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    Explore Other Families

    More of the stack, organised the same way.

    5 models

    MIST

    Frontier-merged LLMs: from MIST-Mini-8B to MIST-1-140B, including reasoning-tuned Thinking variants.

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    6 models

    DiacNet

    Diacritic & tone restoration for YorĂčbĂĄ, Igbo, Hausa and beyond.

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    5 models

    Prism

    Vision models: super-resolution upscaling, denoising, and image steganography.

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