AI Models
    Diacnet Yor X

    OlaverseDiacnet 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.

    Transformers
    Diacritization
    Tone Restoration
    Afriberta
    PyTorch
    Nigerian Languages
    Yoruba
    Yoruba
    Licence: apache-2.0
    Endpoints Compatible
    0
    Likes
    0
    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 Diacnet Yor X, straight from its model card.

    example.py
    from 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
    Built by Olaverse Labs

    Ready to try Diacnet Yor X?

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

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