AI Resources
AfriTeVa V2 vs Zabantu-XLM-Roberta
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
🇿🇦 South Africa
Docs status
Docs live
Docs live
Licensing
Pricing
Free / open weights
Open weights
Verified
Verified
Unverified
Last verified
5 Jul 2026
5 Jul 2026
Tags
nlp, african-languages, t5, text-to-text, wura-corpus
south-africa, xlm-roberta, bantu-languages, tshivenda, zulu
Summary
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.
Zabantu is a family of XLM-RoBERTa masked language models (roughly 80M to 250M params) trained from scratch on South African Bantu languages including Tshivenda, Zulu, Xhosa, Swati, Northern and Southern Sotho, Setswana and Xitsonga. It serves as a benchmark for low-resource Bantu language NLP. It was built by the Data Science for Social Impact group at the University of Pretoria.