onnx2mlx
Convert ONNX models into MLX callables for accelerating inference on Apple Silicon.
Setup Instructions
Open a terminal and run the following command:
# Install onnx2mlx
$ pip install --upgrade onnx2mlx
Converting from ONNX to MLX
Use the onnx2mlx function to create a callable that uses MLX to run the model:
import mlx.core as mx
import onnx
from onnx2mlx import onnx2mlx
# Load an ONNX model
model = onnx.load("model.onnx")
# Convert to MLX
model_mlx = onnx2mlx(onnx_model)
# Run the MLX model
outputs = model_mlx(mx.array(...))
Useful Links
- Join our Slack community.
- Check out the docs.
- Read our blog.
- Reach out to us at hi@muna.ai.
1 maintainer
Release files for onnx2mlx 0.0.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| onnx2mlx-0.0.5.tar.gz | 21.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| onnx2mlx-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.5 kB
Release files / onnx2mlx-0.0.5.tar.gz
| Download URL | onnx2mlx-0.0.5.tar.gz |
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| Size | 21.1 kB |
| Tags | Source |
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| Tags | Python 3 |
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