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 00:33:17 2025 |
| md5 checksum | 0968d813f7611fb9b28dc28018179b75 |
| arch | x86_64 |
| build | py310h0209050_0 |
| constrains | onnxruntime <0a0 |
| depends | coloredlogs, libcurl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<2.0a0, packaging, protobuf, python >=3.10,<3.11.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 0968d813f7611fb9b28dc28018179b75 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | be991b4b5c0a796a8f5479144036c42f0e74a82b |
| sha256 | 0015600ba1008a86ce21646dbfc12a883d052acc1d388369b6feb49dc101a9d7 |
| size | 5540201 |
| subdir | linux-64 |
| timestamp | 1689687214433 |
| version | 1.15.1 |