# MLFlow

This package provides a MLServer runtime compatible with [MLflow models](https://www.mlflow.org/docs/latest/models.html).

## Usage

You can install the runtime, alongside `mlserver`, as:

```bash
pip install mlserver mlserver-mlflow
```

## Content Types

The MLflow inference runtime introduces a new `dict` content type, which decodes an incoming V2 request as a [dictionary of tensors](https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models). This is useful for certain MLflow-serialised models, which will expect that the model inputs are serialised in this format.

```{note}
The `dict` content type can be _stacked_ with other content types, like
[`np`](../../docs/user-guide/content-type).
This allows the user to use a different set of content types to decode each of
the dict entries.
```


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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.seldon.ai/mlserver/runtimes/mlflow.md?ask=<question>
```

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