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 00:32:35 2025 |
md5 checksum | 945beb9352363afc663175b645f5bb87 |
arch | x86_64 |
build | py39hf70ce4d_0 |
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 | 945beb9352363afc663175b645f5bb87 |
name | onnxruntime |
platform | linux |
sha1 | 24e00277be081b02b720e9c5bcd7863c2f8af7f8 |
sha256 | 8a772d03c892643be24cfcf93c086bd2ab1e2f54799742fc9fed31991f898d02 |
size | 5611072 |
subdir | linux-64 |
timestamp | 1689684570704 |
version | 1.15.1 |