add missing attribute _supports_param_buffer_assignment for gpt-j.
Author: nv-guomingz
Pull request: yes

# What does this PR do?
Fix a similiar [issue ](https://github.com/huggingface/transformers/issues/32128)when loading gpt-j model. This MR applies the same changes created in #32149 

With this change, the original erros message _ValueError: You are trying to save a non contiguous tensor: `lm_head.weight` which is not allowed. It either means you are trying to save tensors which are reference of each other in which case it's recommended to save only the full tensors, and reslice at load time, or simply call `.contiguous()` on your tensor to pack it before saving_. is gone.
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Fixes # (issue)


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Comments:
Hi @ArthurZucker Could u plz help review this MR?