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 00:32:33 2025 |
| md5 checksum | 92d5c51c0a90dedacf34bec61583f1a7 |
| arch | x86_64 |
| build | py310hf70ce4d_0 |
| depends | coloredlogs, libcurl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<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 | 92d5c51c0a90dedacf34bec61583f1a7 |
| name | onnxruntime |
| platform | linux |
| sha1 | b6c0bad4c2af9497a8c6a7b12e0d9f1dcf046880 |
| sha256 | 8538bce0867542e1ce3b0478738567ebb6af3cc06a1092e855f557ff7cf22e7b |
| size | 5616815 |
| subdir | linux-64 |
| timestamp | 1689681852389 |
| version | 1.15.1 |