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 00:32:57 2025 |
| md5 checksum | dde00a864acbfee6b89195953bdadf2d |
| arch | x86_64 |
| build | py311h2920f7d_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.19,<3, numpy >=1.21.6,<3, packaging, protobuf, python >=3.11,<3.12.0a0, python-flatbuffers, sympy |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | dde00a864acbfee6b89195953bdadf2d |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | a6c86fca73de68930f41a8118929515aa9f1aee3 |
| sha256 | 20b86bfa868f91167b354e21f7e2f655785f57a0c574b133d833ea0272c45c2e |
| size | 13016300 |
| subdir | linux-64 |
| timestamp | 1738373548670 |
| version | 1.20.1 |