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 00:33:14 2025 |
| md5 checksum | 6154e44645c1d732beac4b5ef871838f |
| arch | x86_64 |
| build | py312h26adbf8_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.26.4,<2.0a0, packaging, protobuf, python >=3.12,<3.13.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 6154e44645c1d732beac4b5ef871838f |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | 42b0ae451a579707a516ae2dba3bc4d9c7baba96 |
| sha256 | 39527a223bcb0e59252d8da4e3bae420f527d2ab45ac57951c59bfe91022e0af |
| size | 6834723 |
| subdir | linux-64 |
| timestamp | 1711089757249 |
| version | 1.17.1 |