hipe4ml_converter
Package for conversion of machine learning models trained with hipe4ml into ONNX and tensor formats
Introduction
hipe4ml-converter enables you to convert models trained with hipe4ml into ONNX format and tensor formats (PyTorch, TorchScript, TVM or ONNX) via the hummingbird library.
Documentation
https://hipe4ml.github.io/hipe4ml_converter/index.html
Requirements
Release files for hipe4ml-converter 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hipe4ml_converter-0.0.8.tar.gz | 17.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hipe4ml_converter-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.7 kB
Release files / hipe4ml_converter-0.0.8.tar.gz
| Download URL | hipe4ml_converter-0.0.8.tar.gz |
|---|---|
| Size | 17.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / hipe4ml_converter-0.0.8-py3-none-any.whl
| Download URL | hipe4ml_converter-0.0.8-py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ded32673c26b95d3141cd76c959f3725010ad353bb49af89a1632b6c38bfeab5
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 22, 2026.
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