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 00:33:15 2025 |
| md5 checksum | 17edc25d13c19354e44de87fd21d4bbb |
| arch | x86_64 |
| build | py38h0209050_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 >=3.8,<3.9.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 17edc25d13c19354e44de87fd21d4bbb |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | 8a0d4ae644bd26a6babfbb5b0569204d61c8be02 |
| sha256 | f6d9b53179d8f4c271127b2bc8f0a7c3523e4c52a75a756bb590b07270061647 |
| size | 6529800 |
| subdir | linux-64 |
| timestamp | 1711080886670 |
| version | 1.17.1 |