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.
Release files for ml-pipes-onnx 0.1.2rc1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_pipes_onnx-0.1.2rc1.tar.gz | 9.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_pipes_onnx-0.1.2rc1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.5 kB
Release files / ml_pipes_onnx-0.1.2rc1.tar.gz
| Download URL | ml_pipes_onnx-0.1.2rc1.tar.gz |
|---|---|
| Size | 9.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / ml_pipes_onnx-0.1.2rc1-py3-none-any.whl
| Download URL | ml_pipes_onnx-0.1.2rc1-py3-none-any.whl |
|---|---|
| Size | 8.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
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