From c2723161c6d4c9c9c752a2eb39ca4b453ce3129b Mon Sep 17 00:00:00 2001
From: Rob Greenberg <100797996+rgreenberg1@users.noreply.github.com>
Date: Tue, 1 Aug 2023 13:33:08 -0400
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index bdca66bd..7d20b8c7 100644
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@@ -57,7 +57,7 @@ limitations under the License.
 It simplifies and accelerates your time-to-value in building performant deep learning models with a collection of inference-optimized models and recipes to prototype from. 
 Read [more about sparsification](https://docs.neuralmagic.com/user-guides/sparsification).
 
-Available via API and hosted in the cloud, the SparseZoo contains both baseline and models sparsified to different degrees of inference performance vs. baseline loss recovery. 
+SparseZoo has two components: a cloud-hosted model repository and a Python API. The SparseZoo model repository contains both baseline and models sparsified to different degrees of inference performance vs. baseline loss recovery. 
 Recipe-driven approaches built around sparsification algorithms allow you to use the models as given, transfer-learn from the models onto private datasets, or transfer the recipes to your architectures.
 
 The [GitHub repository](https://github.com/neuralmagic/sparsezoo) contains the Python API code to handle the connection and authentication to the cloud.