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 00:32:17 2025 |
md5 checksum | 4e049ff62159fb1203872549e95ced82 |
arch | x86_64 |
build | py39hce09735_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 >=3.9,<3.10.0a0, python-flatbuffers, sympy |
license | MIT AND BSL-1.0 |
license_family | MIT |
md5 | 4e049ff62159fb1203872549e95ced82 |
name | onnxruntime |
platform | linux |
sha1 | 2598f9a7ab95406e0e5843688985f05d178ca3b9 |
sha256 | f301e10009037b05dc1d2143779a9a350aba82dcf9f59a22f7eeff1b7458b96b |
size | 12768804 |
subdir | linux-64 |
timestamp | 1738344332066 |
version | 1.20.1 |