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 00:33:14 2025 |
| md5 checksum | f7a878199e980b328433e34896615d55 |
| arch | x86_64 |
| build | py311hfb81ecc_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.23.5,<2.0a0, packaging, protobuf, python >=3.11,<3.12.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | f7a878199e980b328433e34896615d55 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | bda5d4c173f9fc78f55d9528023962c055ed45cb |
| sha256 | d112d47517aa4d0114ffb25cdb9c4cad89211d28a6f7954bb2b21d94d9130bb6 |
| size | 6874693 |
| subdir | linux-64 |
| timestamp | 1711086797320 |
| version | 1.17.1 |