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 00:32:34 2025 |
| md5 checksum | 3ec30933015a02f828289cdbe8a61333 |
| arch | x86_64 |
| build | py311hcd73a83_0 |
| 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 | 3ec30933015a02f828289cdbe8a61333 |
| name | onnxruntime |
| platform | linux |
| sha1 | a2f77700df984c2e869863d063e1ee8bd84dd065 |
| sha256 | ff8e708d843b8b08ab1551dc9bd09f57bf16d2ab0cfbacca05ae5a6874e15751 |
| size | 5862796 |
| subdir | linux-64 |
| timestamp | 1689680495917 |
| version | 1.15.1 |