ml_connect_load() issue with PyTorch 2.6+

[edgararuiz]

ml_connect_load(sc, fitted_folder)

Error in py_call_impl(callable, call_args$unnamed, call_args$named) : 
  _pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those 
steps only if you trust the source of the checkpoint. 
	(1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to 
`True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary 
code execution. Do it only if you got the file from a trusted source.
<...truncated...>by default. Please use `torch.serialization.add_safe_globals([Sequential])` or the 
`torch.serialization.safe_globals([Sequential])` context manager to allowlist this global if you trust this
 class/function.

Check the documentation of torch.load to learn more about types accepted by default with
 weights_only https://pytorch.org/docs/stable/generated/torch.load.html.