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 00:32:31 2025 |
| md5 checksum | 13dced4c025b32421ba93779390222c9 |
| arch | x86_64 |
| build | py312h8116c07_0 |
| 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 | 13dced4c025b32421ba93779390222c9 |
| name | onnxruntime |
| platform | linux |
| sha1 | c44170b4a51cfb05136dcc833342ffad075aee16 |
| sha256 | 1ee7a6fd440aac22a9a6f43888f1d4f9e2d3f3ded7b3eed68f904525414a610c |
| size | 6913242 |
| subdir | linux-64 |
| timestamp | 1711074961831 |
| version | 1.17.1 |