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 00:33:16 2025 |
| md5 checksum | 235f27f9bab30a7fc72751cb609231e5 |
| arch | x86_64 |
| build | py39h0209050_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<2.0a0, packaging, protobuf, python >=3.9,<3.10.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 235f27f9bab30a7fc72751cb609231e5 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | fbd7ff3d97f564a899fb6ed8a6562ecdddc06eb6 |
| sha256 | 6a4b673add19c1fe625268001640fd603a0f04d189e7bede7a61f8ca9540445c |
| size | 6522543 |
| subdir | linux-64 |
| timestamp | 1711092724427 |
| version | 1.17.1 |