Wav2Vec2-large-xlsr-hindi
Fine-tuned facebook/wav2vec2-large-xlsr-53 hindi using the Multilingual and code-switching ASR challenges for low resource Indian languages. When using this model, make sure that your speech input is sampled at 16kHz.
Params
316 M
Context
—
Downloads 30d
932 K
Likes
26
Download history
daily snapshots · 106 days
▲ 150 K in the last 30 days (19.1%)
1.2 M782 K
Oct 12Oct 22Nov 1Nov 10
1.6 M609 K
Aug 13Sep 12Oct 12Nov 10
1.6 M609 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
- 316 M
- Tensor type
- F32
- Vocabulary
- 64
- Layers / heads
- 24 / 16
- First seen on the Hub
- 2022-03-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any automatic-speech-recognition model