AI Models
    DiacNet Yor

    DiacNet Yor

    DiacNet family · open weights on Hugging Face.

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

    DiacritizationTone RestorationBilstmPyTorchNigerian LanguagesYorubaYorubaLicence: apache-2.0
    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, straight from its model card.

    example.pyfrom the model card
    from olaverse.nlp.diacritizer import Diacritizer
    diacritizer = Diacritizer(model="diacnet-yor")
    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?

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

    / Model ecosystem

    Explore more models