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 00:32:13 2025 |
md5 checksum | 016e4c2d0127ddf1598c3399aa12415d |
arch | x86_64 |
build | py310hce09735_0 |
depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.19,<3, numpy >=1.21.6,<3, packaging, protobuf, python >=3.10,<3.11.0a0, python-flatbuffers, sympy |
license | MIT AND BSL-1.0 |
license_family | MIT |
md5 | 016e4c2d0127ddf1598c3399aa12415d |
name | onnxruntime |
platform | linux |
sha1 | 45b53cd9df3fcee83c4b9cb40f95983513a6d513 |
sha256 | 7196b7480b80f4bbaa4306ac2ab7ee842c48331ba035d309cf34764234eaed9d |
size | 12777350 |
subdir | linux-64 |
timestamp | 1738347571853 |
version | 1.20.1 |