AI Models
    Naija Embed Base

    OlaverseNaija Embed Base

    MIST Embed family · open weights on Hugging Face.

    Cross-lingual sentence-embedding model for Hausa, Yorùbá, and Igbo. It is the retrieval foundation for Nigerian-language search and RAG.

    Sentence Transformers
    Safetensors
    Modernbert
    Sentence Similarity
    Feature Extraction
    Nigerian
    Hausa
    Yoruba
    Igbo
    Cross Lingual
    Hausa
    Yoruba
    Igbo
    Base: olaverse/mist-encoder-base-ng
    Base: olaverse/mist-encoder-base-ng
    Licence: apache-2.0
    Text Embeddings Inference
    Endpoints Compatible
    0
    Likes
    114
    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 Naija Embed Base, straight from its model card.

    example.py
    from the model card
    from sentence_transformers import SentenceTransformer
    m = SentenceTransformer("olaverse/naija-embed-base")
    emb = m.encode(["sentence one", "sentence two"])
    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 Naija Embed Base?

    Cross-lingual sentence-embedding model for Hausa, Yorùbá, and Igbo. It is the retrieval foundation for Nigerian-language search and RAG.

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