Docs: Installing validators concepts page with incode examples

docs/concepts/validators.md

@@ -107,4 +107,90 @@ git clone git@github.com:guardrails-ai/validator-template.git
 Once the repository is cloned and the validator is created, you can register the validator via this [Google Form](https://forms.gle/N6UaE9611niuMxZj7).
 
 
+## Installing Validators
 
+### Guardrails Hub
+
+Validators can be combined together into Input and Output Guards that intercept the inputs and outputs of LLMs. There are a large collection of Validators which can be found at the [Guardrails Hub](https://hub.guardrailsai.com/).
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/guardrails-ai/guardrails/main/docs/img/guardrails_hub.gif" alt="Guardrails Hub gif" width="600px" />
+</div>
+
+Once you have found a Validator on the hub, you can click on the Validator `README` to find the install link.
+
+### Using CLI
+
+You can install a validator using the Guardrails CLI. For example the [Toxic Language](https://hub.guardrailsai.com/validator/guardrails/toxic_language) validator can be installed with:
+
+```bash
+guardrails hub install hub://guardrails/toxic_language
+```
+
+> This will not download local models if you opted into remote inferencing during `guardrails configure`
+
+> If you want to control if associated models are downloaded or not you can use the `--install-local-models` or `--no-install-local-models` flags respectively during `guardrails hub install`
+
+After installing the validator with the CLI you can start to use the validator in your guards:
+
+```python
+from guardrails.hub import ToxicLanguage
+from guardrails import Guard
+
+guard = Guard().use(
+    ToxicLanguage, threshold=0.5, validation_method="sentence", on_fail="exception"
+)
+
+guard.validate("My landlord is an asshole!") 
+```
+
+### In Code Installs
+
+You can also install validators using the Guardrails SDK which simplifies development particularly when using Jupyter Notebooks.
+
+```python
+from guardrails import install
+
+install(
+    "hub://guardrails/toxic_language",
+    install_local_models=True, # defaults to `None` - which will not download local models if you opted into remote inferencing.
+    quiet=False # defaults to `True`
+)
+```
+
+### In Code Installs - Pattern A
+
+After an `install` invocation you can import a validator as you typically would: 
+
+```python
+from guardrails import install
+
+install("hub://guardrails/toxic_language")
+
+from guardrails.hub import ToxicLanguage
+
+guard = Guard().use(
+    ToxicLanguage, threshold=0.5, validation_method="sentence", on_fail="exception"
+)
+
+guard.validate("My landlord is an asshole!") 
+```
+
+### In Code Installs - Pattern B
+
+You can also extract the validator directly from the installed module as follows:
+
+```python
+from guardrails import install
+
+ToxicLanguage = install("hub://guardrails/toxic_language").ToxicLanguage
+
+guard = Guard().use(
+    ToxicLanguage, threshold=0.5, validation_method="sentence", on_fail="exception"
+)
+
+guard.validate("My landlord is an asshole!") 
+```
+
+
+> Note: Invoking the `install` SDK  always installs the validator module so it's recommended for the install to be in a separate code block when using Notebooks.