# Models

Models and/or building blocks that can be useful outside of outlier, adversarial or drift detection can be found under `alibi_detect.models`. Main implementations:

* [PixelCNN++](https://arxiv.org/abs/1701.05517): `from alibi_detect.models.tensorflow import PixelCNN`
* Variational Autoencoder: `from alibi_detect.models.tensorflow import VAE`
* Sequence-to-sequence model: `from alibi_detect.models.tensorflow import Seq2Seq`
* ResNet: `from alibi_detect.models.tensorflow import resnet`

Pre-trained TensorFlow ResNet-20/32/44 models on CIFAR-10 can be found on our [Google Cloud Bucket](https://console.cloud.google.com/storage/browser/seldon-models/alibi-detect/classifier/cifar10/?organizationId=156002945562\&project=seldon-pub) and can be fetched as follows:

```python
from alibi_detect.utils.fetching import fetch_tf_model

model = fetch_tf_model('cifar10', 'resnet32')
```


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If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

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

```
GET https://docs.seldon.ai/alibi-detect/overview-1.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.