model = torch.hub.load(..., force_reload=True)

We believe this will help to alleviate the burden of repetitive package releases by repo owners and instead allow them to focus more on their research.
It also ensures that, as a user, you are getting the freshest available models.
On the contrary, stability is important for users. Hence, some model owners serve them from a specificed branch or tag, rather than the master branch, to ensure stability of the code.
For example, pytorch_GAN_zoo serves them from the hub branch:
model = torch.hub.load('facebookresearch/pytorch_GAN_zoo:hub', 'DCGAN', pretrained=True, useGPU=False)

Note that the *args, **kwargs passed to hub.load() are used to instantiate a model. In the above example, pretrained=True and useGPU=False are given to the model's entrypoint.
Explore a loaded model