ConvNeXT V2
### Model description

Short Description
Just released - ConvNeXt with a new internal layer.

In this paper, Authors propose a fully convolutional masked autoencoder framework and a new Global Response Normalization (GRN) layer that can be added to the ConvNeXt architecture to enhance inter-channel feature competition.

# Contribution 

## I would like to work on this!

### Open source status

- [X] The model implementation is available
- [X] The model weights are available

### Provide useful links for the implementation

Papers
https://arxiv.org/abs/2301.00808

Official Implementations
https://github.com/facebookresearch/ConvNeXt-V2

@NielsRogge @alaradirik
Hi @IMvision12! Thanks for taking this on, I think ConvNeXT V2 would be a great addition to transformers.

If you have any questions about the internal logic of the library or run into issues, you can ping me or @NielsRogge anytime. We can also create a Slack channel and continue the collaboration on the PR over there if you'd like. <|||||>@IMvision12 I sent the invite, looking forward to adding ConvNeXT V2 to transformers!<|||||>Hello, I'd like to work on this issue. How do I get started?<|||||>Hi @asrimanth, I took over the PR and I'm almost done with it. Feel free to look at other open issues though!