/ 6 models

    LID

    Two coverage tiers and multiple efficiency options: zero-dependency logistic-regression classifiers, fastText, and neural models built on XLM-R, AfriBERTa, and our own ModernBERT Nigerian encoder.

    LIDLABS

    lid-neural-5

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

    202 0
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    LIDLABS

    lid-lite-5

    Zero-dependency language identification across Nigerian languages (YorΓΉbΓ‘, Igbo, Hausa, Pidgin, English).

    0 0
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    LIDLABS

    lid-neural-5.1

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

    132 0
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    LIDLABS

    lid-lite-25

    fastText language identification across 25 world languages.

    117 0
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    LIDSTABLE

    lid-neural-25.1

    Neural language identification across 25 world languages, tuned for long-form text: documents, articles, and passages.

    109 0
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    LIDSTABLE

    lid-neural-25.2

    Neural language identification across 25 world languages, tuned for short text: search queries, chat messages, and user input.

    101 0
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