From dceb2969f7b3661c6d4577aa56ef080e490e256a Mon Sep 17 00:00:00 2001 From: Baris Can Durak Date: Thu, 11 Jan 2024 17:43:30 +0100 Subject: [PATCH] minor fixes --- huggingface-sagemaker/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/huggingface-sagemaker/README.md b/huggingface-sagemaker/README.md index cbfda7bc..46bdae42 100644 --- a/huggingface-sagemaker/README.md +++ b/huggingface-sagemaker/README.md @@ -43,7 +43,7 @@ see how this works. ## 👋 Get started -What to do first? You can start by giving the the project a quick run. The +What to do first? You can start by giving the project a quick run. The project is ready to be used and can run as-is without any further code changes! You can try it right away by installing ZenML, the needed ZenML integration and then calling the CLI included in the project. @@ -53,8 +53,8 @@ ZenML integration and then calling the CLI included in the project. ```bash # Clone this repo -git clone git@github.com:zenml-io/zenml-huggingface-sagemaker.git -cd zenml-huggingface-sagemaker +git clone git@github.com:zenml-io/zenml-projects.git +cd huggingface-sagemaker # Set up a Python virtual environment, if you haven't already python3 -m venv .venv @@ -70,7 +70,7 @@ make setup

Connect to a deployed ZenML and register secrets

 -After this, you should have ZenML and all of the requirements of the project installed locally. +After this, you should have ZenML and all the requirements of the project installed locally. Next thing to do is to connect to a [deployed ZenML instance](https://docs.zenml.io/deploying-zenml/). You can create a free trial using [ZenML Cloud](https://cloud.zenml.io) to get setup quickly.