AI Resources
AfriBERTa vs AfriTeVa V2
A verified, side-by-side comparison. Both records are status-checked by Findra, so you are comparing what each actually offers today, not a stale listing.
Category
AI Resources
AI Resources
Type
NLP Model
NLP Model
Country
🌍 Pan-African
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Pricing
Not listed
Free / open weights
Verified
Verified
Verified
Last verified
24 Jun 2026
24 Jun 2026
Tags
nlp, multilingual, african-languages, low-resource, masked-language-model
nlp, african-languages, t5, text-to-text, wura-corpus
Summary
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.
An improved T5 v1.1 model (428M params) pretrained on the Wura corpus covering 16 African languages, with gains on classification, translation, summarization and cross-lingual QA. Published at EMNLP 2023 by the Castorini group with African lead authors.