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Update with web training blog in featured blogs. (#19506)

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Co-authored-by: sophies927 <107952697+sophies927@users.noreply.github.com>
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kshama-msft 2024-02-14 13:14:54 -08:00 committed by GitHub
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2 changed files with 14 additions and 4 deletions
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src/routes/blogs/+page.svelte
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@ -9,6 +9,7 @@
import HFImage from '../../images/blogs/hugging-face-blog-img.png';
import LlamaImage from '../../images/blogs/accelerating-llama-2/Figure1-LLaMA-2-7B-E2E-Throughput.png';
import SDXLTurboImage from '../../images/blogs/sdxl_blog_thumbnail.png';
import WebTrainingImage from '../../images/blogs/webtraining_blog_thumbnail.png';
onMount(() => {
anime({
targets: '.border-primary',
@ -24,6 +25,15 @@
});
});
let featuredblog = [
{
title: 'On-Device Training: Training a model in browser',
date: 'February 6th, 2024',
blurb:
'Want to do ML training for your website in-browser? Learn more about what web training with ONNX Runtime has to offer in our blog below and experiment with your own applications through our easy-to-follow tutorials and demo.',
link: 'https://cloudblogs.microsoft.com/opensource/2024/02/06/on-device-training-training-a-model-in-browser',
image: WebTrainingImage,
imgalt: 'Components of the onnxruntime-web JS package'
},
{
title: 'Accelerating SD Turbo and SDXL Turbo Inference with ONNX Runtime and Olive',
date: 'January 15th, 2024',
@ -40,7 +50,9 @@
link: 'blogs/accelerating-llama-2',
image: LlamaImage,
imgalt: 'LLaMA-2 e2e throughput'
},
}
];
let blogs = [
{
title: 'Run PyTorch models on the edge',
date: 'October 12th, 2023',
@ -50,9 +62,7 @@
image:
'https://onnxruntime.ai/_app/immutable/assets/pytorch-on-the-edge-with-ort.cdaa9c84.png',
imgalt: 'Run PyTorch models on the edge'
}
];
let blogs = [
},
{
title: 'Accelerating over 130,000 Hugging Face models with ONNX Runtime',
date: 'October 4th, 2023',