> ## Documentation Index
> Fetch the complete documentation index at: https://baseten-philip-copy-0226.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Step 0: Create a Truss

> Set up your development environment and create a Truss

This tutorial will guide you step-by-step through:

1. Creating a Truss
2. Connecting your local development environment to a model server
3. Deploying a [basic text classification model](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.pipeline)
4. Publishing your model to production

<Tip>
  On the right side, you'll see what your Truss should look like after each step!
</Tip>

### Install the Truss package

Make sure you're using the newest version of Truss to complete this tutorial:

```sh
pip install --upgrade truss
```

### Create your Truss

Use the `truss init <folder-name>` command to create a Truss.

```sh
truss init my-first-truss
```

When prompted, give your Truss a name like `My First Truss`

### Get ready to code!

Navigate to the newly created directory:

```sh
cd my-first-truss
```

Open the directory in your favorite text editor, such as Visual Studio Code.

<RequestExample>
  ```python model/model.py
  class Model:
      def __init__(self, **kwargs):
          self._model = None

      def load(self):
          pass

      def predict(self, model_input):
          return model_input
  ```

  ```yaml config.yaml
  environment_variables: {}
  model_name: My First Truss
  requirements: []
  resources:
    accelerator: null
    cpu: "1"
    memory: 2Gi
    use_gpu: false
  secrets: {}
  system_packages: []
  ```
</RequestExample>