DiacNet

    DiacNet

    Restoring the marks that make Nigerian-language text readable, searchable, and machine-usable: from statistical Viterbi decoders to BiLSTM, AfriBERTa, and the flagship multilingual ByT5 restorer, diacnet-1.0.

    DiacNet

    diacnet-yor-viterbi

    YorĂčbĂĄ diacritic and tone restoration powered by Viterbi decoding, making text readable, searchable, and machine-usable.

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    DiacNet

    diacnet-yor-db

    YorĂčbĂĄ diacritic and tone restoration powered by k-nearest neighbours, making text readable, searchable, and machine-usable.

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    DiacNet

    diacnet-ig

    Igbo diacritic and tone restoration powered by k-nearest neighbours, making text readable, searchable, and machine-usable.

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    DiacNet

    diacnet-yor

    YorĂčbĂĄ diacritic and tone restoration powered by BiLSTM networks, making text readable, searchable, and machine-usable.

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    DiacNet

    diacnet-yor-x

    YorĂčbĂĄ diacritic and tone restoration powered by transformer encoders, making text readable, searchable, and machine-usable.

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    DiacNet

    diacnet-1.0

    African-language diacritic and tone restoration powered by a multilingual ByT5 model, making text readable, searchable, and machine-usable.

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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

    LID

    Language identification: from 5 Nigerian languages to 25 languages worldwide.

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    5 models

    Prism

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

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