Bambara-ASR-v2
Bambara-ASR-v2 is an automatic speech recognition model for Bambara (Bamanankan) fine-tuned from OpenAI's Whisper-large-v2 using parameter-efficient tuning, reaching about 25 percent word error rate. It handles natural Bambara-French code-switching common in Mali's multilingual context. It is released under Apache 2.0 as part of the MALIBA-AI community initiative.
- Category
- AI Resources
- Pricing
- Open weights (Apache 2.0)
- Country
- 🇲🇱 Mali
- Last verified
- 10 Oct 2026
{ "name": "Bambara-ASR-v2", "slug": "bambara-asr-v2", "category": "AI", "country": "ML", "docs_status": "LIVE", "licensing_required": "NONE", "verified": false, "last_verified": "2026-10-10", "website": "https://huggingface.co/sudoping01/bambara-asr-v2", "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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