AI Models
    Naija Embed Base

    Naija 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 TransformersSafetensorsModernbertSentence SimilarityFeature ExtractionNigerianHausaYorubaIgboCross LingualHausaYorubaIgboBase: olaverse/mist-encoder-base-ngBase: olaverse/mist-encoder-base-ngLicence: apache-2.0Text Embeddings InferenceEndpoints 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 Naija Embed Base, straight from its model card.

    example.pyfrom 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

    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.

    / Model ecosystem

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