`AttributeError: 'BertConfig' object has no attribute 'items'` when saving a tf keras model with `transformers 4.12.4`
## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
     Don't forget to fill out the missing fields in that output! -->

- `transformers` version: 4.12.4
- Platform: Linux
- Python version: 3.7.10
- PyTorch version (GPU?):
- Tensorflow version (GPU?): 2.7.0
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No

### Who can help
<!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @
 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

Models:

- ALBERT, BERT, XLM, DeBERTa, DeBERTa-v2, ELECTRA, MobileBert, SqueezeBert: @LysandreJik
- encoder-decoder models (For example, BlenderBot, BART, Marian, Pegasus, T5, ByT5): @patrickvonplaten, @patil-suraj
- Longformer, Reformer, TransfoXL, XLNet, FNet: @patrickvonplaten
- FSMT: @stas00
- Funnel: @sgugger
- GPT-2, GPT: @patrickvonplaten, @LysandreJik
- RAG, DPR: @patrickvonplaten, @lhoestq
- TensorFlow: @Rocketknight1
- JAX/Flax: @patil-suraj @patrickvonplaten 
- TAPAS, LayoutLM, LayoutLMv2, LUKE, ViT, BEiT, DEiT, DETR, CANINE: @NielsRogge
- GPT-Neo, GPT-J, CLIP: @patil-suraj
- Wav2Vec2, HuBERT, SpeechEncoderDecoder: @patrickvonplaten, @anton-l

If the model isn't in the list, ping @LysandreJik who will redirect you to the correct contributor.

Library:

- Benchmarks: @patrickvonplaten
- Deepspeed: @stas00
- Ray/raytune: @richardliaw, @amogkam
- Text generation: @patrickvonplaten
- Tokenizers: @LysandreJik
- Trainer: @sgugger
- Pipelines: @Narsil
- Speech: @patrickvonplaten, @anton-l
- Vision: @NielsRogge, @sgugger

Documentation: @sgugger

Model hub:

- for issues with a model, report at https://discuss.huggingface.co/ and tag the model's creator.

HF projects:

- datasets: [different repo](https://github.com/huggingface/datasets)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj

For research projetcs, please ping the contributor directly. For example, on the following projects:

- research_projects/bert-loses-patience: @JetRunner
- research_projects/distillation: @VictorSanh

 -->

## Information

Model I am using (Bert, XLNet ...):  `TFBert`

The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [ ] my own task or dataset: (give details below)

## To reproduce

Steps to reproduce the behavior:

[Google Colab notebook](https://colab.research.google.com/drive/1Awfs3hmfKn4OQl1tjmJbKVUu9qFZ0JIX#scrollTo=O7V5Ct-pcfVG)

1. Run this code:

```python
import tensorflow as tf
import transformers
import sys

print(sys.version)
print(tf.__version__)
print(transformers.__version__)

bert = transformers.TFBertModel(transformers.BertConfig())
input_ids = tf.keras.layers.Input(shape=(512,), dtype=tf.int32)
model = tf.keras.Model(inputs=[input_ids], outputs=[bert(input_ids).last_hidden_state])
model.compile()
model.save("model")
```

<!-- If you have code snippets, error messages, stack traces please provide them here as well.
     Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
     Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.-->

```
2021-11-17 19:16:12.651287: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2021-11-17 19:16:12.651307: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
3.7.10
2.7.0
4.12.4
2021-11-17 19:16:13.813364: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2021-11-17 19:16:13.813392: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2021-11-17 19:16:13.813402: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (haru-Z590-S01): /proc/driver/nvidia/version does not exist
2021-11-17 19:16:13.813550: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-11-17 19:16:20.635357: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
WARNING:absl:Found untraced functions such as embeddings_layer_call_fn, embeddings_layer_call_and_return_conditional_losses, encoder_layer_call_fn, encoder_layer_call_and_return_conditional_losses, pooler_layer_call_fn while saving (showing 5 of 1055). These functions will not be directly callable after loading.
Traceback (most recent call last):
  File "b.py", line 13, in <module>
    model.save("model")
  File "/home/haru/miniconda3/envs/mlflow-dev-env/lib/python3.7/site-packages/keras/utils/traceback_utils.py", line 67, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/home/haru/miniconda3/envs/mlflow-dev-env/lib/python3.7/site-packages/transformers/configuration_utils.py", line 237, in __getattribute__
    return super().__getattribute__(key)
AttributeError: 'BertConfig' object has no attribute 'items'
```

## Expected behavior

<!-- A clear and concise description of what you would expect to happen. -->

In transformers 4.12.3, the attached code works.<|||||>After commenting out the changes made in https://github.com/huggingface/transformers/pull/14361, the attached code works in transformers 4.12.4.

https://github.com/huggingface/transformers/blob/b567510cff606c9dd67cb7c56169bc596590e700/src/transformers/modeling_tf_utils.py#L695-L700

cc @sgugger and @LysandreJik who reviewed & approved #14361<|||||>@harupy The offending PR has been reverted and a patch release has been deployed. We're working on a fix that will resolve the original issues without causing new ones, which will hopefully be deployed soon. In the meantime, your code should work as before!<|||||>@Rocketknight1 Got it, thanks!