fixed direct input of state dict functionality
Author: mikeybellissimo
Pull request: yes

# What does this PR do?
In the documentation it says that if you call from_pretrained with pretrained_model_name_or_path set to None and specify config and state_dict then you can directly input the state_dict. This branch accomplishes that. 

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Comments:
Could you please post a reproducer of the bug you encounter? The situation described in the doc works and is tested, but it looks like you are trying to use it with other extra arguments like `low_cpu_mem_usage=True`, which is definitely not a combination we support.

> Could you please post a reproducer of the bug you encounter? The situation described in the doc works and is tested, but it looks like you are trying to use it with other extra arguments like `low_cpu_mem_usage=True`, which is definitely not a combination we support.

Yeah my bad should have been more specific. I needed to specify the device map which automatically sets low_cpu_mem_usage to true, thereby disabling the above behavior. 

Yes, we do not support that use case. `device_map="auto"` requires loading the state dict from disk to.

> Yes, we do not support that use case. `device_map="auto"` requires loading the state dict from disk to.

Thank you for your timely replies. It appears to work just as intended for me unless I’m missing something. 

I directly inputted the device map as = {‘’ :0} though. 

You misunderstand me: we offer the functionality to pass along a `state_dict` in the very basic case of no other kwargs and we do not want to complexify `from_pretrained` to support those use cases. Passing along a `state_dict` here is only possible to guarantee backward compatibility, but it is not a feature we maintain outside of the basic use case config + state_dict.

> You misunderstand me: we offer the functionality to pass along a `state_dict` in the very basic case of no other kwargs and we do not want to complexify `from_pretrained` to support those use cases. Passing along a `state_dict` here is only possible to guarantee backward compatibility, but it is not a feature we maintain outside of the basic use case config + state_dict.

Ok thank you for your time. I’ll just stick to my using my fork for my use case. 

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.