From 90ebef09d881a15cecad4a12ace76637958a0835 Mon Sep 17 00:00:00 2001 From: Michael Katsoulis Date: Wed, 8 Nov 2023 09:32:48 +0100 Subject: [PATCH] minor touchups --- cerebrium/getting-started/quickstart.mdx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/cerebrium/getting-started/quickstart.mdx b/cerebrium/getting-started/quickstart.mdx index b88863ae..5c298f23 100644 --- a/cerebrium/getting-started/quickstart.mdx +++ b/cerebrium/getting-started/quickstart.mdx @@ -11,7 +11,7 @@ cerebrium init first-project Currently, our implementation has five components: -- **main.py** - This is where your python code lives. This is mandatory to include. +- **main.py** - This is where your Python code lives. This is mandatory to include. - **requirements.txt** - This is where you define your Python packages where each package should be on a new line. Deployment will be quicker if you specify specific versions. This is optional to include. - **pkglist.txt** - This is where you can define Linux packages where each package should be on a new line. We run the apt-install command for items here. This is optional to include. - **conda_pkglist.txt** - This is where you can define Conda packages where each package should be on a new line. if you prefer using it for some libraries over pip. You can use both conda and pip in conjunction. This is optional to include. @@ -65,7 +65,7 @@ deployed. You will see the usual overview statistics of your model, but most imp - Builds: This is where you can see the logs regarding the creation of your environment and the code specified in the Init function. You will - see logs only on every deploy. + see logs only on every deployment. - Runs: This is where you will see logs concerning every API call to your model endpoint. You can therefore debug every run based on input parameters and the model output. @@ -75,7 +75,7 @@ Now that we have covered the basics of deploying a model, let's dive into some o Below are some links outlining some of the more advanced functionality that Cortex provides: - [Custom Images](../environments/custom-images): How to create your custom environments to run your ML Models. -- [Secrets](../environments/using-secrets): Use secrets to authenticate with third party platforms. +- [Secrets](../environments/using-secrets): Use secrets to authenticate with third-party platforms. - [Persistent Storage](../data-sharing-storage/persistent-storage): Store model weights and files locally for faster access. - [Long Running Tasks](../deployments/long-running-tasks): Execute long running tasks in the background. - [Streaming](../endpoints/streaming): Stream output live back to your endpoint