# Quickstart

## Load a Pretrained Model

Pretrained models can be loaded using `timm.create_model`

```py
>>> import timm

>>> m = timm.create_model('mobilenetv3_large_100', pretrained=True)
>>> m.eval()
```

## List Models with Pretrained Weights

```py
>>> import timm
>>> from pprint import pprint
>>> model_names = timm.list_models(pretrained=True)
>>> pprint(model_names)
[
    'adv_inception_v3',
    'cspdarknet53',
    'cspresnext50',
    'densenet121',
    'densenet161',
    'densenet169',
    'densenet201',
    'densenetblur121d',
    'dla34',
    'dla46_c',
]
```

## List Model Architectures by Wildcard

```py
>>> import timm
>>> from pprint import pprint
>>> model_names = timm.list_models('*resne*t*')
>>> pprint(model_names)
[
    'cspresnet50',
    'cspresnet50d',
    'cspresnet50w',
    'cspresnext50',
    ...
]
```