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 00:33:17 2025 |
| md5 checksum | 5d2829f9bf051ddadaa93d96c0dbc771 |
| arch | x86_64 |
| build | py311hfb81ecc_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libcurl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.23.5,<2.0a0, packaging, protobuf, python >=3.11,<3.12.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 5d2829f9bf051ddadaa93d96c0dbc771 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | 59bc794810d764ae5510115de7ff49ed895dad0c |
| sha256 | 15ceb51792656aa94de8810c2720fe919c203f5f2338bb43248eced87fea5759 |
| size | 5783549 |
| subdir | linux-64 |
| timestamp | 1689685886322 |
| version | 1.15.1 |