How to open .ONNX files on Mac
To open .ONNX files on Mac, open the .onnx in Netron (or a similar viewer) to explore the graph without writing code.
Step-by-step instructions
- Open the .onnx in Netron (or a similar viewer) to explore the graph without writing code.
- Use ONNX Runtime (Python) to load the .onnx file and run inference via the ONNX Runtime Python API.
- Alternatively, use Wolfram Language to import/export ONNX models if that fits your workflow.
Common issues
Double-clicking the file doesn’t open anything useful
.onnx is a serialized ML model (protobuf) meant to be loaded by ML software; most operating systems don’t have a default app to “open” it like a document.
- Decide your goal: inspect the graph (use Netron or another ONNX viewer), run inference (use ONNX Runtime), or import/export in a specific toolchain (for example Wolfram Language).
- Load the file from within that tool (for example, create an ONNX Runtime inference session in Python and point it to the .onnx path).
The model loads, but you can’t easily “view” it as a human-readable file
ONNX models are protobuf-based binary files, so opening them in a text editor will look like garbled data.
- Use ONNX-oriented tooling that understands the model graph rather than a plain text editor.
- For a quick visual overview, open the file in Netron; for deeper analysis or execution, use ONNX Runtime or your framework’s ONNX tooling.
You downloaded a model but don’t know if it’s really an ONNX model file
Many distributions refer to a file named model.onnx as the serialized ONNX model; if the extension is missing or changed, tools may not infer it correctly.
- Verify the file is intended as an ONNX model (for example, from a source that explicitly describes model.onnx as the serialized ONNX model).
- Ensure the filename ends with .onnx so ONNX APIs that infer format from extension treat it as an ONNX model.
Security note
A .onnx file is a protobuf-serialized model graph; treat untrusted models as untrusted input because parsers and runtimes must deserialize and process complex structured data.