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 00:33:18 2025 |
| md5 checksum | d17431472d3a259721e4ba2663ed48d2 |
| arch | x86_64 |
| build | py39h0209050_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libcurl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<2.0a0, packaging, protobuf, python >=3.9,<3.10.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | d17431472d3a259721e4ba2663ed48d2 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | e0b389fc6ea9f8f3868eb0a09adbb8e0bf34e19e |
| sha256 | af9ef196fb41ef4b09af3f9c87b0b55b49e9c9a354e38d0cc88c421741ae712a |
| size | 5531943 |
| subdir | linux-64 |
| timestamp | 1689689885213 |
| version | 1.15.1 |