Fix passing kwargs to TFBertTokenizer
Author: balvisio
Pull request: yes

# What does this PR do?

This PR fixes passing `kwargs` when creating a `TFBertTokenizer.from_pretrained()`. Currently, a `kwarg` is passed the following error is raised:

```
>>> from transformers import TFBertTokenizer
>>> tokenizer = TFBertTokenizer.from_pretrained("distilbert-base-cased", do_lower_case=False)

TypeError: transformers.models.bert.tokenization_bert_tf.TFBertTokenizer() got multiple values for keyword argument 'vocab_list' 
```

By popping the arguments from `kwargs` we avoid the ambiguity.

@ArthurZucker  You might be interested in this PR. Not clear to me which `kwargs` should actually be allowed when calling `from_pretrained()`. For example, `do_lower_case` makes sense but not sure if `vocab_list` or `cls_token_id` should be even allowed?

Thanks!


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Fixes # (issue)


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Models:

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Library:

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Comments:
_The documentation is not available anymore as the PR was closed or merged._

Also cc @Rocketknight1