> For the complete documentation index, see [llms.txt](https://docs.seldon.ai/mlserver/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seldon.ai/mlserver/examples.md).

# Examples

To see MLServer in action you can check out the examples below. These are end-to-end notebooks, showing how to serve models with MLServer.

## Inference Runtimes

If you are interested in how MLServer interacts with particular model frameworks, you can check the following examples. These focus on showcasing the different [inference runtimes](https://github.com/SeldonIO/MLServer/blob/master/docs-gb/runtimes/index.md) that ship with MLServer out of the box. Note that, for **advanced use cases**, you can also write your own custom inference runtime (see the [example below on custom models](/mlserver/examples/custom.md)).

* [Serving Scikit-Learn models](/mlserver/examples/sklearn.md)
* [Serving XGBoost models](/mlserver/examples/xgboost.md)
* [Serving LightGBM models](/mlserver/examples/lightgbm.md)
* [Serving CatBoost models](https://github.com/SeldonIO/MLServer/blob/master/docs-gb/examples/catboost/README.md)
* [Serving MLflow models](/mlserver/examples/mlflow.md)
* [Serving custom models](/mlserver/examples/custom.md)
* [Serving Alibi Detect models](/mlserver/examples/alibi-detect.md)
* [Serving HuggingFace models](/mlserver/examples/huggingface.md)

## MLServer Features

To see some of the advanced features included in MLServer (e.g. multi-model serving), check out the examples below.

* [Multi-Model Serving with multiple frameworks](/mlserver/examples/mms.md)
* [Loading / unloading models from a model repository](/mlserver/examples/model-repository.md)
* [Content-Type Decoding](/mlserver/examples/content-type.md)
* [Custom Conda environment](/mlserver/examples/conda.md)
* [Serving custom models requiring JSON inputs or outputs](/mlserver/examples/custom-json.md)
* [Serving models through Kafka](/mlserver/examples/kafka.md)
* [Streaming inference](/mlserver/examples/streaming.md)

## Tutorials

Tutorials are designed to be *beginner-friendly* and walk through accomplishing a series of tasks using MLServer (and other tools).

* [Deploying a Custom Tensorflow Model with MLServer and Seldon Core](/mlserver/examples/cassava.md)