molind/conformer-ctc-be-mlx

Conformer-CTC Belarusian (MLX)

Code: molind/mlx-conformer

NVIDIA's Conformer-CTC Large model for Belarusian speech recognition, packaged for MLX inference on Apple Silicon.

Original model: nvidia/stt_be_conformer_ctc_large

Results

Dataset	WER	Speed
CommonVoice 24.0 test (500 samples)	7.58%	8.2 samples/s

Usage

pip install mlx numpy pyyaml torch

git clone https://github.com/molind/mlx-conformer
cd mlx-conformer

python mlx_conformer.py \
    --download nvidia/stt_be_conformer_ctc_large \
    --output models

python mlx_conformer.py --model models/stt_be_conformer_ctc_large --audio test.mp3

Architecture

• 18 Conformer layers, d_model=512, 8 heads
• Conv kernel size 31, 4x subsampling
• 128 BPE vocabulary + blank
• ~120M parameters

License

Original model by NVIDIA, licensed under CC-BY-4.0.