Running summarization with default model fails. 4.27.0.dev0
### System Info

When runining examples/tensorflow/summarization/run_summarization.py
as given in README, 
python run_summarization.py  \
--model_name_or_path facebook/bart-base \
--dataset_name cnn_dailymail \
--dataset_config "3.0.0" \
--output_dir /tmp/tst-summarization  \
--per_device_train_batch_size 8 \
--per_device_eval_batch_size 16 \
--num_train_epochs 3 \
--do_train \
--do_eval


it fails as below.

![image](https://user-images.githubusercontent.com/14943401/222041742-82660acf-6fa4-40a4-af92-38a81044ddf0.png)



### Who can help?

_No response_

### Information

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

### Tasks

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

### Reproduction

1. Copy script in README to a file
2. Run the script

### Expected behavior

Should run without issues as it is example given in README
cc @Rocketknight1 <|||||>Hi @jojivk73, thanks for the bug report! We've reproduced the issue - the cause is that the `transformers` library is currently transitioning to using standardized native Keras layers for as many purposes as possible, and deprecating the previous setup where we often had ad-hoc model-specific solutions. 

One consequence of the transition is that BART's embeddings used to store their weights in `embeddings.weight`, but now that they've been swapped to a Keras `Embedding` layer, the weights are in `embeddings.embeddings`. We missed this issue in the example code during the transition, but we're preparing a PR to fix it immediately. I'll ping you as soon as it's ready.<|||||>@jojivk73 the PR is now up at #21881<|||||>@jojivk73 PR is merged. Please install the latest version from `main` and let me know if you have any other problems, and thanks again for the bug report!