AI Models
    DiacNet Yor X

    DiacNet Yor X

    DiacNet family · open weights on Hugging Face.

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

    TransformersDiacritizationTone RestorationAfribertaPyTorchNigerian LanguagesYorubaYorubaLicence: apache-2.0Endpoints Compatible
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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 DiacNet Yor X, straight from its model card.

    example.pyfrom the model card
    from olaverse.nlp.diacritizer import Diacritizer
    diacritizer = Diacritizer(model="diacnet-yor-x")
    text = "Ojo lo si oja lana"
    print(diacritizer.restore(text))
    # Output: "Ọjọ́ ló sí ọjà lànà"
    / 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 DiacNet Yor X?

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

    / Model ecosystem

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