So I think we’re lacking a bit here, but you could wrap your tensors into a module and save and load that though JIT.
As this is clumsy, it would be nice to have something better. Options seem to be

Read pickle. Unfortunately, the Python pickle format torch.save is Python-specific. There seems to be an a library 8 capable of reading some pickle files, but I’m not sure about it’s usability here or the maintenance status.
Or you could write a model’s state dict to a standard format, say HDF5 9, and use that to read and write tensors. HDF5 is generally well supported.

Ideally, we would have a ready utility for this, but I’m afraid we don’t at this point.
Best regards
Thomas