ONNX Runtime is a cross-platform machine-learning model accelerator, with a flexible interface to integrate hardware-specific libraries. ONNX Runtime can be used with models from PyTorch, Tensorflow/Keras, TFLite, scikit-learn, and other frameworks.
Uploaded | Mon Mar 31 00:32:15 2025 |
md5 checksum | 48bb3aed1787bf1c81414a43f543f438 |
arch | x86_64 |
build | py312hce09735_0 |
depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.19,<3, numpy >=1.21.6,<3, packaging, protobuf, python >=3.12,<3.13.0a0, python-flatbuffers, sympy |
license | MIT AND BSL-1.0 |
license_family | MIT |
md5 | 48bb3aed1787bf1c81414a43f543f438 |
name | onnxruntime |
platform | linux |
sha1 | 39a89ed116369503cb3ff9763ed967f1571eb71e |
sha256 | a27e6ebaa44fd33e5ea92f38d9811d3b2de97246d94b47fd5ceac58630f97e1f |
size | 13153258 |
subdir | linux-64 |
timestamp | 1738350962203 |
version | 1.20.1 |