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 00:33:13 2025 |
| md5 checksum | f1be3a5c8c452ffb3631f24aebb5f36c |
| arch | x86_64 |
| build | py310h0209050_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<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 | f1be3a5c8c452ffb3631f24aebb5f36c |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | 37f1444760293f572c8784eb15c75506e8e5a35a |
| sha256 | 408a227bc7d6fd4d4419e5918fd9f16969d3e03fe2937e9774e43bc8d81883ca |
| size | 6534630 |
| subdir | linux-64 |
| timestamp | 1711083840837 |
| version | 1.17.1 |