Install ONNX Runtime GPU (CUDA or TensorRT) CUDA 12.x The default CUDA version for onnxruntime-gpu in pypi is 12.x since 1.19.0.
ONNXRuntime JavaScript API library. Latest version: 1.22.0, last published: a month ago. Start using onnxruntime-common in your project by running `npm i onnxruntime-common`. There are 28 other projects in the npm registry using onnxruntime-common.
Install on web and mobile Unless stated otherwise, the installation instructions in this section refer to pre-built packages that include support for selected operators and ONNX opset versions based on the requirements of popular models. These packages may be referred to as “mobile packages”. If you use mobile packages, your model must only use the supported opsets and operators. Another …
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator – microsoft/onnxruntime
Copy package name compare this packagec 1.26.0 latest main m docs d code. timeline t A Javascript library for running ONNX models on browsers Microsoft/onnxruntime 20.7K 4K issues socket.dev npm Types ESM CJS License MIT Deps 6(-) View dependency graphInspect dependency tree Install Size 134.3 MB(141 MB) Vulns 0 Published May 8, 2026
Download ONNX Runtime for free. ONNX Runtime: cross-platform, high performance ML inferencing. ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries …
ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators – the building blocks of machine learning and deep learning models – and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. LEARN MORE
The ONNX Runtime shipped with Windows ML allows apps to run inference on ONNX models locally. If you’re using Generative AI models like Large Language Models (LLMs) and speech-to-text, see Run LLMs and other generative models.
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