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 00:32:58 2025 |
| md5 checksum | 665c44e2e9c1fc3027a5420b3dcd8a7f |
| arch | x86_64 |
| build | py312h2920f7d_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 >=3.12,<3.13.0a0, python-flatbuffers, sympy |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 665c44e2e9c1fc3027a5420b3dcd8a7f |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | b7359920a0ca438150eeb1bf1b9ad05952150465 |
| sha256 | 5f1a437cbca6b1bc8bb461f5f62fe48ea0a2d91822a00fedfad377ec89b8b5ab |
| size | 12965195 |
| subdir | linux-64 |
| timestamp | 1738367034073 |
| version | 1.20.1 |