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AfriBERTa

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NLP Model
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AfriBERTa is a multilingual masked language model (XLM-RoBERTa architecture, ~126M params) pretrained from scratch on 11 African languages including Amharic, Hausa, Igbo, Swahili, and Yoruba. Built by the Castorini lab (University of Waterloo) for text classification and Named Entity Recognition on low-resource African languages.

Category
AI Resources
Pricing
Not listed
Country
🌍 Pan-African
Last verified
24 Jun 2026

Tags

nlp
multilingual
african-languages
low-resource
masked-language-model

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