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 | 761cfbd9f831a99a109dfa1ebc68dd90 |
| arch | x86_64 |
| build | py38h0209050_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 >=3.8,<3.9.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 761cfbd9f831a99a109dfa1ebc68dd90 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | 77b22a735d4bb1c21a367e1f96d42b717c5a99cd |
| sha256 | 4ad52d4697bc85449ef3e4db0028c0009a016a66ecd33e8b653b33dd0eb1fe8a |
| size | 5531355 |
| subdir | linux-64 |
| timestamp | 1689688546525 |
| version | 1.15.1 |