Slow (i.e., Python) Tokenizer `batch_encode_plus` for Input as `List[PreTokenizedInput]` or `List[PreTokenizedInputPair]`
# What does this PR do?

Current `batch_encode_plus()` should support input type including`List[PreTokenizedInput]` and `List[PreTokenizedInputPair]` by doc. However, a simple example would incur the error:
```
>>> from transformers import AutoTokenizer
>>> tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased', use_fast=False)
>>> tokenizer([['I', 'love', 'you'], ['I', 'love', 'you']])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/ubuntu/anaconda3/envs/fid-bert/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 2556, in __call__
    encodings = self._call_one(text=text, text_pair=text_pair, **all_kwargs)
  File "/home/ubuntu/anaconda3/envs/fid-bert/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 2642, in _call_one
    return self.batch_encode_plus(
  File "/home/ubuntu/anaconda3/envs/fid-bert/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 2833, in batch_encode_plus
    return self._batch_encode_plus(
  File "/home/ubuntu/anaconda3/envs/fid-bert/lib/python3.9/site-packages/transformers/tokenization_utils.py", line 731, in _batch_encode_plus
    ids, pair_ids = ids_or_pair_ids
ValueError: too many values to unpack (expected 2)
```

The fixed version would properly tokenize such inputs without errors:
```
>>> from transformers import AutoTokenizer
>>> tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased', use_fast=False)
>>> tokenizer([['I', 'love', 'you'], ['I', 'love', 'you']])
{'input_ids': [[101, 100, 2293, 2017, 102], [101, 100, 2293, 2017, 102]], 'token_type_ids': [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1], [1, 1, 1, 1, 1]]}
```

The "fast" tokenizer written by Rust should be fixed accordingly as well.

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- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

@ArthurZucker @younesbelkada 

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Models:

- text models: @ArthurZucker and @younesbelkada
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Library:

- flax: @sanchit-gandhi
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The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24121). All of your documentation changes will be reflected on that endpoint.<|||||>> Hey! Thanks a lot for adding this 😉 Would you mind adding a test? To make sure that List of input pairs/list works? (in this state I think a list of pairs is passed as a list instead or a pair of list no?

Hi @ArthurZucker, thanks a lot for the quick reply! Sure, I will add a test to this. I am not very sure about the current state/assumption, but will take a look and get back to you on this!

(Separately I think the fast tokenizer suffers from the same problem here -- I will try to make another PR regarding that or at least open a feature request so that the community can contribute)<|||||>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.