Method load

examples/NLU/src/transformers/modeling_utils.py:1114–1127

(module: nn.Module, prefix="")

            # PyTorch's `_load_from_state_dict` does not copy parameters in a module's descendants
            # so we need to apply the function recursively.
            def load(module: nn.Module, prefix=""):
                local_metadata = {} if metadata is None else metadata.get(prefix[:-1], {})
                module._load_from_state_dict(
                    state_dict,
                    prefix,
                    local_metadata,
                    True,
                    missing_keys,
                    unexpected_keys,
                    error_msgs,
                )
                for name, child in module._modules.items():
                    if child is not None:
                        load(child, prefix + name + ".")

            # Make sure we are able to load base models as well as derived models (with heads)
            start_prefix = ""