AI Models
    Mist Encoder Base Ng

    OlaverseMist 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.

    Transformers
    Safetensors
    Modernbert
    Fill Mask
    Nigerian
    Hausa
    Yoruba
    Igbo
    Naija
    Nigerian Pidgin
    Masked Lm
    Encoder
    Olaverse Mist
    Hausa
    Yoruba
    Igbo
    Nigerian Pidgin
    Dataset:HuggingFaceFW/fineweb 2
    Dataset:castorini/wura
    Dataset:asr Nigerian Pidgin/nigerian Pidgin 1.0
    Licence: apache-2.0
    Endpoints Compatible
    0
    Likes
    53
    Downloads
    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.py
    from 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
    Built by Olaverse Labs

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

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