Skip to content

[8.12] [DOCS] Updates ELSER install steps (backport #2605) #2606

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Dec 7, 2023
Merged

[8.12] [DOCS] Updates ELSER install steps (backport #2605) #2606

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Binary file modified docs/en/stack/ml/nlp/images/ml-nlp-elser-v2-download.png
View file
Open in desktop
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
11 changes: 9 additions & 2 deletions docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -114,13 +114,20 @@ in the list of trained models. There are two versions available: one portable
version which runs on any hardware and one version which is optimized for Intel®
silicon. You can see which model is recommended to use based on your hardware
configuration.
2. Click the **Download model** button under **Actions**. You can check the
download status on the **Notifications** page.
2. Click the **Add trained model** button. Select the ELSER model version you
want to use in the opening modal window. The model that is recommended for you
based on your hardware configuration is highlighted. Click **Download**. You can
check the download status on the **Notifications** page.
+
--
[role="screenshot"]
image::images/ml-nlp-elser-v2-download.png[alt="Downloading ELSER",align="center"]
--
+
--
Alternatively, click the **Download model** button under **Actions** in the
trained model list.
--
3. After the download is finished, start the deployment by clicking the
**Start deployment** button.
4. Provide a deployment ID, select the priority, and set the number of
Expand Down