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 00:32:32 2025 |
| md5 checksum | 27c3235bc0e46e6d0eabf3ca150fcace |
| arch | x86_64 |
| build | py38hf70ce4d_0 |
| depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<2.0a0, packaging, protobuf, python >=3.8,<3.9.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 27c3235bc0e46e6d0eabf3ca150fcace |
| name | onnxruntime |
| platform | linux |
| sha1 | e929963ee4e38bf9991522f4810547eb08f750f6 |
| sha256 | 8d2c054f1eb6011c3c7d8dfa969213d4c93088fe8707fd270d159bf3203e32aa |
| size | 6596312 |
| subdir | linux-64 |
| timestamp | 1711066029772 |
| version | 1.17.1 |