AI Models
    Mist Encoder Base Ng

    Mist Encoder Base Ng

    MIST Embed family · open weights on Hugging Face.

    ModernBERT masked-LM encoder pretrained for Hausa, Yorùbá, Igbo, and Nigerian Pidgin. A foundation for Nigerian-language NLP.

    TransformersSafetensorsModernbertFill MaskNigerianHausaYorubaIgboNaijaNigerian PidginMasked LmEncoderOlaverse MistHausaYorubaIgboNigerian PidginDataset:HuggingFaceFW/fineweb 2Dataset:castorini/wuraDataset:asr Nigerian Pidgin/nigerian Pidgin 1.0Licence: apache-2.0Endpoints Compatible
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    Jun 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 Mist Encoder Base Ng, straight from its model card.

    example.pyfrom the model card
    from transformers import AutoModel, AutoTokenizer
    tok = AutoTokenizer.from_pretrained("olaverse/mist-encoder-base-ng")
    enc = AutoModel.from_pretrained("olaverse/mist-encoder-base-ng")
    / 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 Mist Encoder Base Ng?

    ModernBERT masked-LM encoder pretrained for Hausa, Yorùbá, Igbo, and Nigerian Pidgin. A foundation for Nigerian-language NLP.

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