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 00:32:56 2025 |
| md5 checksum | 9c1aa16b883cb66311f6dec0a3d797a6 |
| arch | x86_64 |
| build | py310h2920f7d_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 >=3.10,<3.11.0a0, python-flatbuffers, sympy |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 9c1aa16b883cb66311f6dec0a3d797a6 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | 5f2efae8c57da37fc18612a4cd798dc973d11c08 |
| sha256 | fff56dd6c5fdea4119e42b02e6285bf86b454c80e5f6e27ea83f0ef5aa563814 |
| size | 12592000 |
| subdir | linux-64 |
| timestamp | 1738363783774 |
| version | 1.20.1 |