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Fixed youtube cookies (#19765)

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### Description
Simple change, should allow removal of all the errors associated with
GDPR (not Adobe, but Adobe isn't seeming to error)

## Note
Will need to change consent banner to using
[this](https://eng.ms/docs/cloud-ai-platform/devdiv/one-engineering-system-1es/1es-docs/wcp/privacy/wcp-cookie-consent-api#cookie-consent-library---javascript)
library in accordance with errors. Is known and will be worked on
hopefully before EOW.

---------

Co-authored-by: MaanavD <maanavdalal@microsoft.com>
This commit is contained in:
Maanav Dalal 2024-03-04 14:51:38 -08:00 committed by GitHub
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commit 25cd2bfa1a
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3 changed files with 5 additions and 5 deletions
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2
docs/tutorials/csharp/stable-diffusion-csharp.md
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@ -197,7 +197,7 @@ tensor([[49406, 1078, 320, 1674, 539, 1901, 2677, 593, 4023, 1630,
## Text embedding with the CLIP text encoder model
The tokens are sent to the text encoder model and converted into a tensor of shape (1, 77, 768) where the first dimension is the batch size, the second dimension is the number of tokens and the third dimension is the embedding size. The text encoder is a [OpenAI CLIP](https://openai.com/blog/clip/) model that connects text to images.
The tokens are sent to the text encoder model and converted into a tensor of shape (1, 77, 768) where the first dimension is the batch size, the second dimension is the number of tokens and the third dimension is the embedding size. The text encoder is a [OpenAI CLIP](https://openai.com/research/clip) model that connects text to images.
The text encoder creates the text embedding which is trained to encode the text prompt into a vector that is used to guide the image generation. The text embedding is then concatenated with the uncond embedding to create the text embeddings that is sent to the unet model for inferencing.

6
src/routes/+page.svelte
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@ -19,15 +19,15 @@
let videos = [
{
title: 'What is ONNX Runtime (ORT)?',
link: 'https://www.youtube.com/embed/M4o4YRVba4o?si=LHc-2AhKt3TrY60g'
link: 'https://www.youtube-nocookie.com/embed/M4o4YRVba4o?si=LHc-2AhKt3TrY60g'
},
{
title: 'Converting Models to ONNX Format',
link: 'https://www.youtube.com/embed/lRBsmnBE9ZA?si=l5i0Q2P7VtSJyGK1'
link: 'https://www.youtube-nocookie.com/embed/lRBsmnBE9ZA?si=l5i0Q2P7VtSJyGK1'
},
{
title: 'Optimize Training and Inference with ONNX Runtime (ORT/ACPT/DeepSpeed)',
link: 'https://www.youtube.com/embed/lC7d_7waHLM?si=U4252VEd1t5ioZUN'
link: 'https://www.youtube-nocookie.com/embed/lC7d_7waHLM?si=U4252VEd1t5ioZUN'
}
];

2
src/routes/events/+page.svelte
View file

@ -28,7 +28,7 @@
let videos = [
{
title: 'Workshop: LLMs Fine Tuning and Inferencing Using ONNXRuntime',
link: 'https://www.youtube.com/embed/lOp8WK0fa94?si=rHn8fxAii3Ksr8Ey'
link: 'https://www.youtube-nocookie.com/embed/lOp8WK0fa94?si=rHn8fxAii3Ksr8Ey'
}
];
</script>