Karsamanja/paza-whisper-large-v3-turbo-swahili-english-cs
automatic-speech-recognition model by Karsamanja
From the publisher
Model card & documentation
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LoRA adaptation of Microsoft's Paza Whisper Large-v3-Turbo using conversational Swahili-English code-switched speech. Whisper-small WER: 648.53% Whisper Large-v3-Turbo WER: 234.49% Paza Large-v3-Turbo WER: 1294.11% Fine-tuned Paza WER: 72.44% Absolute WER change: 1221.66 percentage points Relative WER reduction: 94.40% liva-ai/swahili-english-asr https://huggingface.co/datasets/liva-ai/swahili-english-asr This is a small…
Read the full model card ↗ · Preview checked 2026-10-02T08:27:30.212Z
Inside the original model card — Document outline
- Paza Whisper Large-v3-Turbo Swahili-English Code-Switching
- Baselines
- Fine-tuned model
- Dataset
- Limitation
- Intended use
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Model overview
Karsamanja/paza-whisper-large-v3-turbo-swahili-english-cs is a automatic-speech-recognition model repository published by Karsamanja on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 808,884,480
- Architecture
- WhisperForConditionalGeneration
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-10-02T06:10:36.000Z
- Last modified
- 2026-10-02T06:10:58.000Z
Compatibility and lineage
Reported languages: sw, en
Reported base models: microsoft/paza-whisper-large-v3-turbo
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:29.113Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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