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 00:32:33 2025 |
md5 checksum | 2bbbcd0cd5544230a941226f7a348f8c |
arch | x86_64 |
build | py39hf70ce4d_0 |
depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<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 | 2bbbcd0cd5544230a941226f7a348f8c |
name | onnxruntime |
platform | linux |
sha1 | f6ac904b622a3bc34c2402a8421607dff4cfa6b8 |
sha256 | ea12f4e2b86a7d6caefacdde38b1f8c37205bdb9eb5109dc676bb56317401b47 |
size | 6596677 |
subdir | linux-64 |
timestamp | 1711077938465 |
version | 1.17.1 |