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canary-mlx
qfuxa/canary-mlx
canary-mlx is a machine learning model from qfuxa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as cc-by-4.0.
NVIDIA Canary ASR model converted to MLX format for Apple Silicon.
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3.9 GB on disk
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At a glance
- Library
- mlx
- License
- cc-by-4.0
- Access
- Public
- Created
- Jan 2, 2026
- Updated
- Jan 5, 2026
- SHA
- 1d2d321f
Model card
From the Hugging Face model README
Canary MLX
NVIDIA Canary ASR model converted to MLX format for Apple Silicon.
Usage
pip install canary-mlx
from canary_mlx import load_model
model = load_model("qfuxa/canary-mlx")
result = model.transcribe("audio.wav", language="en")
print(result)
Model Details
This model is a conversion of NVIDIA's Canary ASR model to Apple's MLX framework.
- Architecture: Conformer encoder + Transformer decoder
- Parameters: ~1B
- Supported Languages: 25 languages (see tags)
Original Model
Based on NVIDIA NeMo Canary model. See NVIDIA NeMo for the original implementation.
License
Model weights are released under CC-BY-4.0 license (same as original NVIDIA model).
- Library
- mlx
- License
- cc-by-4.0
- Languages
- en, bg, hr, cs, da, nl
- Created
- Jan 2, 2026
- Updated
- Jan 5, 2026