This release is a pre-release and may not be stable for production use.
ml-pipes-onnx
ml-pipes-onnx brings ONNX Runtime inference into ml-pipes.
Use this package when a model is already exported to ONNX and you want the
runtime call to appear as one explicit pipeline stage. The package is
intentionally thin: it handles the runtime boundary and the values
immediately around that boundary, then hands model outputs to packages such as
ml-pipes-tensor or ml-pipes-vision for shared postprocess.
Operators can be used as plain callables, but this package is best used inside
an ml-pipes pipeline.
Package Reference
| Field | Value |
|---|---|
| Package | ml-pipes-onnx |
| Guide | docs/README.md |
| Reference | docs/INDEX.md |
| Depends on | ml-pipes-core, ml-pipes-tensor |
| Public modules | ml_pipes.onnx |
| Content | ONNX Runtime integration; runtime-output handling; output extraction and batch distribution |
See docs/PACKAGES.md
for direct package installs, umbrella profiles, and the full package matrix.
1 maintainer
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