Zabantu-XLM-Roberta
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.
- Category
- AI Resources
- Pricing
- Open weights
- Country
- 🇿🇦 South Africa
- Last verified
- 10 Oct 2026
{ "name": "Zabantu-XLM-Roberta", "slug": "zabantu-xlm-roberta", "category": "AI", "country": "ZA", "docs_status": "LIVE", "licensing_required": "NONE", "verified": false, "last_verified": "2026-10-10", "website": "https://huggingface.co/dsfsi/zabantu-xlm-roberta", "documentation_url": null}Verification history
- 10 Oct 2026 · live
- 7 Oct 2026 · live
- 4 Oct 2026 · live
- 1 Oct 2026 · live
- 28 Sept 2026 · live
- 25 Sept 2026 · live
- 22 Sept 2026 · live
- 22 Sept 2026 · live
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