def METHOD_NAME(pretrained: bool = False, num_classes: int = 1000, in_channels=3, **kwargs) -> SqueezeNet:
    """Get SqueezeNet model of version 1.0.
    Refer to the base class `models.SqueezeNet` for more details.
    """
    default_cfg = default_cfgs["squeezenet1_0"]
    model = SqueezeNet(version="1_0", num_classes=num_classes, in_channels=in_channels, **kwargs)
    if pretrained:
        load_pretrained(model, default_cfg, num_classes=num_classes, in_channels=in_channels)
    return model