wav2vec2-large-xlsr-korean
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor from datasets import loaddataset import soundfile as sf import torch from jiwer import wer
Params
320 M
Context
—
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Likes
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daily snapshots · 10 days912 K780 K
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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
- 1,205
- Layers / heads
- 24 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2022-03-02
- Training datasets
- kresnik/zeroth_korean
- Zeroth Korean (reported)
- 1.78
- Added to our catalog
- 2026-07-28
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