AI Models
    LID Neural 5

    OlaverseLID Neural 5

    LID family · open weights on Hugging Face.

    Neural language identification across Nigerian languages (Yorùbá, Igbo, Hausa, Pidgin, English).

    Transformers
    Safetensors
    Xlm Roberta
    Text Classification
    Language Detection
    Afriberta
    Sequence Classification
    PyTorch
    Nigerian Languages
    Lid
    Yoruba
    Igbo
    Hausa
    Nigerian Pidgin
    English
    Licence: apache-2.0
    Text Embeddings Inference
    Endpoints Compatible
    0
    Likes
    168
    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 LID Neural 5, straight from its model card.

    example.py
    from the model card
    from olaverse import LIDNeural5
    # Automatically downloads and loads the model on demand
    detector = LIDNeural5()
    detector.load()
    # 1. Predict dominant language
    lang = detector.predict("Kedu ka ị mere today?")
    print(f"Predicted language: {lang}") # → 'ibo'
    # 2. Get probability distributions
    probs = detector.predict_proba("How far, wetin dey happen?")
    print(probs)
    # → {'eng': 0.002, 'hau': 0.001, 'ibo': 0.003, 'pcm': 0.991, 'yor': 0.003}
    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 LID Neural 5?

    Neural language identification across Nigerian languages (Yorùbá, Igbo, Hausa, Pidgin, English).

    Model Ecosystem

    Explore More Models