wav2vec2-large-xlsr-mvc-swahili
There was an issue with vocab, seems like there are special characters included and they were not considered during training You could try python from transformers import AutoProcessor, AutoModelForCTC
Params
320 M
Context
—
Downloads 30d
600 K
Likes
3
Download history
daily snapshots · 106 days
▲ 186 K in the last 30 days (45.1%)
769 K415 K
Oct 12Oct 22Nov 1Nov 10
988 K330 K
Aug 13Sep 12Oct 12Nov 10
988 K330 K
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 1.3 GB | 1.9 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Wav2Vec2ForCTC
- Parameters
- 320 M
- Tensor type
- F32
- Vocabulary
- 59
- Layers / heads
- 24 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2023-11-06
- Training datasets
- common_voice_13_0
- common_voice_13_0 (reported)
- 0.2
- Added to our catalog
- 2026-07-28
Compare with any automatic-speech-recognition model