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 | fbc814a0cbfe530c40cab663bbd3bf52 |
| arch | x86_64 |
| build | py39h2920f7d_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 >=3.9,<3.10.0a0, python-flatbuffers, sympy |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | fbc814a0cbfe530c40cab663bbd3bf52 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | b4e6fb09cb88c395cac075e5e9c3954fd9fff2e5 |
| sha256 | d0bec674751bcb2ea778c6e4ac9163ba16296f1fa30e0fbc530b9154c1723d1a |
| size | 12581471 |
| subdir | linux-64 |
| timestamp | 1738360595177 |
| version | 1.20.1 |