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 00:32:30 2025 |
| md5 checksum | f3d0488c066c2fd833e71662487980e2 |
| arch | x86_64 |
| build | py310hf70ce4d_0 |
| depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<2.0a0, packaging, protobuf, python >=3.10,<3.11.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | f3d0488c066c2fd833e71662487980e2 |
| name | onnxruntime |
| platform | linux |
| sha1 | 7e122b0c141cc269b9066234a901758c2ee609e4 |
| sha256 | ca7b764b67e911384f7456f0839d0d3a48dcd135ab282f59197146a62db663db |
| size | 6605016 |
| subdir | linux-64 |
| timestamp | 1711069012235 |
| version | 1.17.1 |