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 00:32:14 2025 |
md5 checksum | b4c3012d36496e53fca3e129ca5b3456 |
arch | x86_64 |
build | py311hce09735_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 >=3.11,<3.12.0a0, python-flatbuffers, sympy |
license | MIT AND BSL-1.0 |
license_family | MIT |
md5 | b4c3012d36496e53fca3e129ca5b3456 |
name | onnxruntime |
platform | linux |
sha1 | 86ce553ce354ee4bf1d817d09628394c3231880b |
sha256 | d06ed970a95225424880508c97f46797d359de1fbd2da8e983034478932b7e9c |
size | 13202924 |
subdir | linux-64 |
timestamp | 1738357402476 |
version | 1.20.1 |