docs: admonitions

content/docs/api-reference/pack.md

@@ -20,29 +20,33 @@ from mlem.api import pack
 pack("pip", "rf", target="build", package_name="example_mlem_get_started")
 ```
 
-> The extra kwargs supplied above can be seen from the output of
-> `mlem types packager pip` which gives us
->
-> ```py
-> [required] package_name: str
-> [required] target: str
-> [not required] templates_dir: str = []
-> [not required] python_version: str = None
-> [not required] short_description: str = ""
-> [not required] url: str = ""
-> [not required] email: str = ""
-> [not required] author: str = ""
-> [not required] version: str = "0.0.0"
-> [not required] additional_setup_kwargs: typing.Any = {}
-> ```
-
 ## Description
 
 This API is the underlying mechanism for the
 [mlem pack](/doc/command-reference/pack) command and allows us to
 programmatically create ship-able assets from MlemModels such as pip-ready
 packages, docker images, etc.
 
+<amon type="tip">
+
+The arguments supplied to this method can be found with `mlem types`:
+
+```cli
+$ mlem types packager pip
+[required] package_name: str
+[required] target: str
+[not required] templates_dir: str = []
+[not required] python_version: str = None
+[not required] short_description: str = ""
+[not required] url: str = ""
+[not required] email: str = ""
+[not required] author: str = ""
+[not required] version: str = "0.0.0"
+[not required] additional_setup_kwargs: typing.Any = {}
+```
+
+</admon>
+
 ## Parameters
 
 - **`packager`** (required) - Packager to use. Out-of-the-box supported string

content/docs/command-reference/link.md

@@ -44,8 +44,12 @@ Add a remote object to your local workspace (aka repo) without copying it
 $ mlem link rf --source-repo https://github.com/iterative/example-mlem-get-started remote_model
 ```
 
-> The remote model can now be served with the link created above, using the
-> command `mlem serve remote_model fastapi`.
+<amon type="tip">
+
+The remote model can now be served with the link created above, using the
+command `mlem serve remote_model fastapi`.
+
+</admon>
 
 Alias a local object with a different name
 

content/docs/command-reference/pprint.md

@@ -22,7 +22,11 @@ as object specific information such as `methods` for a `model` or `reader` for a
 Since only one specific object is printed, a `PATH` to the specific MLEM object
 is always required.
 
-> You can use [`mlem list`](/doc/command-reference/list) to list MLEM objects.
+<amon type="tip">
+
+You can use [`mlem list`](/doc/command-reference/list) to list MLEM objects.
+
+</admon>
 
 ## Options
 

content/docs/contributing/core.md

@@ -46,7 +46,11 @@ Make sure that you have Python 3.7 or higher installed. On macOS, we recommend
 using `brew` to install Python. For Windows, we recommend an official
 [python.org release](https://www.python.org/downloads/windows/).
 
-> ℹ️ Note that `pip` version 20.3+ is required.
+<amon type="info">
+
+`pip` version 20.3+ is required.
+
+</admon>
 
 Install MLEM in editable mode with `pip install -e ".[tests]"`. But before we do
 that, we **strongly** recommend creating a

content/docs/index.md

@@ -4,11 +4,15 @@
 It seamlessly supports a variety of scenarios like real-time serving and batch
 processing.
 
-> 💡 When combined with [GTO](https://github.com/iterative/gto), MLEM allows you
-> to create a powerful Model Registry out of your Git repository! Such a
-> registry serves as a centralized place to store and operationalize your models
-> along with their metadata; manage model life-cycle, versions & releases, and
-> easily automate tests and deployments using GitOps.
+<amon type="tip">
+
+💡 When combined with [GTO](https://github.com/iterative/gto), MLEM allows you
+to create a powerful Model Registry out of your Git repository! Such a registry
+serves as a centralized place to store and operationalize your models along with
+their metadata; manage model life-cycle, versions & releases, and easily
+automate tests and deployments using GitOps.
+
+</admon>
 
 <cards>