Decision models for African languages and English. Typed questions in, calibrated probabilities out, in one pass.
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A collection of token classification models designed for diacritic tagging and restoration.
A compact multilingual question generator across 25 languages. Given a passage, it produces natural, search-style questions that the passage directly
A collection of models for diacritic restoration. Explore cutting-edge tools for processing and enhancing text with diacritics.
A collection of embedding models for sentence similarity, reranking and fill-mask tasks
contains pretrained tokenizers for multilingual language modeling. Designed with a focus on African and other underrepresented languages
Document → JSON extraction for English and African languages, with calibrated confidence per field. Text, photos and scans.
A collection of models for diacritic restoration. Explore cutting-edge tools for processing and enhancing text with diacritics.
A curated collection of language identification models, including specialized solutions for Nigerian and multilingual contexts.
A collection of token classification models designed for diacritic tagging and restoration.
showcases experimental and production-ready language models created using modern model merging techniques.
Decision models for African languages and English. Typed questions in, calibrated probabilities out, in one pass.
Document → JSON extraction for English and African languages, with calibrated confidence per field. Text, photos and scans.
A collection of token classification models designed for diacritic tagging and restoration.
A collection of models for diacritic restoration. Explore cutting-edge tools for processing and enhancing text with diacritics.
A compact multilingual question generator across 25 languages. Given a passage, it produces natural, search-style questions that the passage directly
A curated collection of language identification models, including specialized solutions for Nigerian and multilingual contexts.
A collection of models for diacritic restoration. Explore cutting-edge tools for processing and enhancing text with diacritics.
A collection of token classification models designed for diacritic tagging and restoration.
A collection of embedding models for sentence similarity, reranking and fill-mask tasks
showcases experimental and production-ready language models created using modern model merging techniques.
contains pretrained tokenizers for multilingual language modeling. Designed with a focus on African and other underrepresented languages