GITBOOK-80: change request with no subject merged in GitBook

Author: Moloejoe

pgml-docs/docs/guides/developer-docs/contributing.md

@@ -114,23 +114,25 @@ CREATE EXTENSION pgml;
 
 That's it, PostgresML is ready. You can validate the installation by running:
 
-\=== "SQL"
 
+
+{% tabs %}
+{% tab title="SQL" %}
 ```sql
 SELECT pgml.version();
 ```
+{% endtab %}
 
-\=== "Output"
-
-```
+{% tab title="Output" %}
+```sql
 postgres=# select pgml.version();
       version
 -------------------
  2.7.4
 (1 row)
 ```
-
-\===
+{% endtab %}
+{% endtabs %}
 
 Basic extension usage:
 

pgml-docs/docs/guides/developer-docs/installation.md

@@ -56,8 +56,10 @@ This will compile all the necessary packages, including Rust bindings to XGBoost
 
 PostgresML uses Python packages to provide support for Hugging Face LLMs and Scikit-learn algorithms and models. To make this work on your system, you have two options: install those packages into a virtual environment (strongly recommended), or install them globally.
 
-\=== "Virtual environment"
 
+
+{% tabs %}
+{% tab title="Virtual environment" %}
 To install the necessary Python packages into a virtual environment, use the `virtualenv` tool installed previously by Homebrew:
 
 ```bash
@@ -66,16 +68,16 @@ source pgml-venv/bin/activate && \
 pip install -r requirements.txt && \
 pip install -r requirements-xformers.txt --no-dependencies
 ```
+{% endtab %}
 
-\=== "Globally"
-
+{% tab title="Globally" %}
 Installing Python packages globally can cause issues with your system. If you wish to proceed nonetheless, you can do so:
 
 ```bash
 pip3 install -r requirements.txt
 ```
-
-\===
+{% endtab %}
+{% endtabs %}
 
 ### Configuration
 

pgml-docs/docs/guides/developer-docs/quick-start-with-docker.md

@@ -10,8 +10,8 @@ If you're looking to get started with PostgresML as quickly as possible, [sign u
 
 ## Get Started
 
-\=== "macOS"
-
+{% tabs %}
+{% tab title="macOS" %}
 ```bash
 docker run \
     -it \
@@ -21,9 +21,9 @@ docker run \
     ghcr.io/postgresml/postgresml:2.7.3 \
     sudo -u postgresml psql -d postgresml
 ```
+{% endtab %}
 
-\=== "Linux with GPUs"
-
+{% tab title="Linux with GPUs" %}
 Make sure you have Cuda, the Cuda container toolkit, and matching graphics drivers installed. You can install everything from [Nvidia](https://developer.nvidia.com/cuda-downloads).
 
 On Ubuntu, you can install everything with:
@@ -48,14 +48,14 @@ docker run \
 ```
 
 If your machine doesn't have a GPU, just omit the `--gpus all` option, and the container will start and use the CPU instead.
+{% endtab %}
 
-\=== "Windows"
-
+{% tab title="Windows" %}
 Install [WSL](https://learn.microsoft.com/en-us/windows/wsl/install) and [Docker Desktop](https://www.docker.com/products/docker-desktop/). You can then use **Linux with GPUs** instructions. GPU support is included, make sure to [enable CUDA](https://learn.microsoft.com/en-us/windows/ai/directml/gpu-cuda-in-wsl).
 
-\===
-
 Once the container is running, setting up PostgresML is as simple as creating the extension and running a few queries to make sure everything is working correctly.
+{% endtab %}
+{% endtabs %}
 
 !!! generic