Loading FlaxHybridCLIP trained model
### System Info

- `transformers` version: 4.27.4
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.13.4
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.8 (cpu)
- Jax version: 0.4.8
- JaxLib version: 0.4.7
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>


Models: FlaxHybridCLIP

### Who can help?

@sanchit-gandhi @patrickvonplaten, @patil-suraj 

### Information

- [ ] The official example scripts
- [X] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)

### Reproduction

I'm wondering how to import a trained FlaxHybridCLIP model from a folder that contains the following files

- config.json
- flax_model.msgpack

I attempted to load it using the below:
```
 if args.run_from_checkpoint is not None:
        with open(f"{args.run_from_checkpoint}/config.json", "r") as fp:
            config_dict = json.load(fp)
        config_dict["vision_config"]["model_type"] = "clip"
        config = HybridCLIPConfig(**config_dict)
        model = FlaxHybridCLIP.from_pretrained(
            args.run_from_checkpoint,
            seed=training_args.seed,
            dtype=getattr(jnp, model_args.dtype),
            config=config,
            freeze_backbones=args.freeze_backbones
        )
```

But, I encountered the following error:


```
`text_config` is `None`. Initializing the `CLIPTextConfig` with default values.
`vision_config` is `None`. initializing the `CLIPVisionConfig` with default values.
loading weights file freeze/18/flax_model.msgpack
Traceback (most recent call last):
  File "run_hybrid_clip.py", line 831, in <module>
    main()
  File "run_hybrid_clip.py", line 528, in main
    model = FlaxHybridCLIP.from_pretrained(
  File "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/modeling_flax_utils.py", line 807, in from_pretrained
    model = cls(config, *model_args, _do_init=_do_init, **model_kwargs)
  File "/home/ubuntu/modeling_hybrid_clip.py", line 148, in __init__
    module = self.module_class(config=config, dtype=dtype, **kwargs)
TypeError: __init__() got an unexpected keyword argument '_do_init'
```
I used the modified Italian hybrid CLIP scripts [here](https://github.com/clip-italian/clip-italian/tree/master/hybrid_clip)

### Expected behavior

to load successfully and fine-tune with unfrozen backbone

Thanks
Hey @alhuri! Sorry for the late reply here! It looks like the clip-italian repo assumes an older version of transformers. The modelling code would need to be updated to use transformers==4.27.4, namely the [`FlaxHybridCLIP`](https://github.com/clip-italian/clip-italian/blob/8c75204be0d747c0ab150973fd8cd8556ca2f444/hybrid_clip/modeling_hybrid_clip.py#L133) class.

The required changes can be found in this PR: https://github.com/huggingface/transformers/pull/16148

My recommendation would be reaching out to the clip-italian authors here via GitHub and discussing this with them!<|||||>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.<|||||>Closing since this issue is related to the Italian CLIP repo (not transformers!)