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 00:32:35 2025 |
| md5 checksum | 09a2e451c70ad9284b5c2ad4cdf6f4f0 |
| arch | x86_64 |
| build | py38hf70ce4d_0 |
| depends | coloredlogs, libcurl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<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 | 09a2e451c70ad9284b5c2ad4cdf6f4f0 |
| name | onnxruntime |
| platform | linux |
| sha1 | 8345a57b0dd72878012d7ebaee49bcf0dcf8ff5f |
| sha256 | 4b104213881fddb79593a247ec37c2e3cc3b995eba4e3e22b31f53bc53432432 |
| size | 5608041 |
| subdir | linux-64 |
| timestamp | 1689683206698 |
| version | 1.15.1 |