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## Training NLU-only models

To train an NLU model only, run:

```
rasa train nlu
```

This will look for NLU training data files in the `data/` directory and saves a trained model in the `models/` directory. The name of the model will start with `nlu-`.

## Testing your NLU model on the command line

To try out your NLU model on the command line, run the following command:

```
rasa shell nlu
```

This will start the rasa shell and ask you to type in a message to test. You can keep typing in as many messages as you like.

Alternatively, you can leave out the `nlu` argument and pass in a nlu-only model directly:

```
rasa shell -m models/nlu-20190515-144445.tar.gz
```

## Running an NLU server

To start a server with your NLU model, pass in the model name at runtime:

```
rasa run --enable-api -m models/nlu-20190515-144445.tar.gz
```

You can then request predictions from your model using the `/model/parse` endpoint. To do this, run:

```
curl localhost:5005/model/parse -d '{"text":"hello"}'
```