---
description: 'First things first: let''s start with a good model!'
---

# Models

Welcome to the "**Models**" tutorial of the "_From Zero to Hero_" series. In this notebook we will talk about the features offered by the `models` _Avalanche_ sub-module.

### Models Support

Every continual learning experiment needs a model to train incrementally. The `models` sub-module provide ready-to-use **randomly initialized** and **pre-trained** models you can use _off-the-shelf_.

At the moment we support only the following architectures:


```python
!pip install git+https://github.com/ContinualAI/avalanche.git
```


```python
from avalanche.models import SimpleCNN
from avalanche.models import SimpleMLP
from avalanche.models import SimpleMLP_TinyImageNet
from avalanche.models import MobilenetV1
```

However, we plan to support in the near future all the models provided in the [Pytorch](https://pytorch.org/) official ecosystem models as well as the ones provided by [pytorchcv](https://pypi.org/project/pytorchcv/)!

## 🤝 Run it on Google Colab

You can run _this chapter_ and play with it on Google Colaboratory: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ContinualAI/colab/blob/master/notebooks/avalanche/models.ipynb)