From 7793ed676a0a2cffecf5de709b22d9939ff5e704 Mon Sep 17 00:00:00 2001 From: sophies927 <107952697+sophies927@users.noreply.github.com> Date: Wed, 1 Nov 2023 20:00:48 +0000 Subject: [PATCH] Update HF landing page w/ minor changes --- src/routes/huggingface/+page.svelte | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/src/routes/huggingface/+page.svelte b/src/routes/huggingface/+page.svelte index 046b6e0824308..d97630c58287f 100644 --- a/src/routes/huggingface/+page.svelte +++ b/src/routes/huggingface/+page.svelte @@ -132,13 +132,13 @@

Cloud Models

Models accelerated by ONNX Runtime can be easily deployed to the cloud through Azure Machine - Learning, which improves time to value, streamlines MLOps, and provides built-in security. + Learning, which improves time-to-value, streamlines MLOps, provides built-in AI governance, + and designs responsible AI solutions.

- Azure Machine Learning also publishes - a curated model list that is updated regularly and includes some of the most popular models at - the moment. Of the models on this list that are available on Hugging Face, there is currently - Optimum ONNX support for over 85%. + Azure Machine Learning publishes a + curated model list that is updated regularly and includes the most popular models. You can run + the vast majority of the models on the curated list with ONNX Runtime, using HuggingFace Optimum.