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Update docs front page video to ONNX export (#11264)

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Nat Kershaw (MSFT) 2022-04-19 12:30:20 -07:00 committed by GitHub
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@ -3,14 +3,14 @@ title: ONNX Runtime (ORT)
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---
# Welcome to ONNX Runtime (ORT)
# Welcome to ONNX Runtime
{: .no_toc }
ONNX Runtime is an accelerator for machine learning models with multi platform support and a flexible interface to integrate with hardware-specific libraries. ONNX Runtime can be used with models from PyTorch, Tensorflow/Keras, TFLite, scikit-learn, and other frameworks.
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.
<iframe width="400" height="315" class="table-wrapper py px" src="https://www.youtube.com/embed/qy7X2JGLUC4" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
<iframe height="315" class="table-wrapper py px" src="https://www.youtube.com/embed/lRBsmnBE9ZA" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
## How to use ONNX Runtime (ORT)
## How to use ONNX Runtime
|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
| <span class="fs-5"> [Get started with ORT](./get-started){: .btn .mr-4 target="_blank"} </span> | <span class="fs-5"> [API Docs](./api){: .btn target="_blank"} </span> |