Larger images should work in this model, as torchvision models use an adaptive pooling layer before feeding the activation to the first linear layer.
However, since the model was pretrained on smaller images (224x224), you might want to fine-tune the conv layers so that they could extract the features from the current resolution, but it depends on your use case of course.