From 12dfbfb5b7f3edd428116d90d3e4317112c64bb0 Mon Sep 17 00:00:00 2001 From: Emre Sahin Date: Fri, 12 Feb 2021 15:08:43 +0300 Subject: [PATCH] start: Data Access mentions tracking models without clarifying what kind Fixes #2096 --- content/docs/start/data-access.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/content/docs/start/data-access.md b/content/docs/start/data-access.md index 0c40d58df6..61d75df6b3 100644 --- a/content/docs/start/data-access.md +++ b/content/docs/start/data-access.md @@ -4,10 +4,13 @@ title: 'Get Started: Data Access' # Get Started: Data Access -Okay, now that we've learned how to _track_ data and models with DVC and how to -version them with Git, next question is how can we _use_ these artifacts outside -of the project? How do I download a model to deploy it? How do I download a -specific version of a model? How do I reuse datasets across different projects? +Okay, now that we've learned how to _track_ data files in DVC and how to version +them with Git. _Models_ in a machine learning project are also files written and +read by programs and DVC can track and version them similar to data files. + +Next question is how can we _use_ these artifacts outside of the project? How do +I download a model to deploy it? How do I download a specific version of a +model? How do I reuse datasets across different projects? > These questions tend to come up when you browse the files that DVC saves to > remote storage, e.g.