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 00:32:31 2025 |
md5 checksum | 2dec1e96b57d27e8d387cebe53f62484 |
arch | x86_64 |
build | py311hcd73a83_0 |
depends | coloredlogs, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.23.5,<2.0a0, packaging, protobuf, python >=3.11,<3.12.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
license | MIT AND BSL-1.0 |
license_family | MIT |
md5 | 2dec1e96b57d27e8d387cebe53f62484 |
name | onnxruntime |
platform | linux |
sha1 | ef13dae9a31dab3406886f51038d0b6ee9ef9ca5 |
sha256 | e8282055f767a4fd3c84d32e658f51b59ec232f3bbb21a55f63c0ec55bee7aad |
size | 6942768 |
subdir | linux-64 |
timestamp | 1711071989278 |
version | 1.17.1 |