Order of inputs (difference between doc and output)
Hey,

when using a dictionary as model input does the order matters? Eg:

`model({"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask})
`

and 

`model({"input_ids": input_ids, "attention_mask": attention_mask, "token_type_ids": token_type_ids})
`

When using tokenizer I get a order different from the docstring and arguments order:

```
tokenizer = BertTokenizer.from_pretrained('bert-base-cased')
input_query = tokenizer(input_query,max_length=MAX_SEQ_lEN,padding="max_length",truncation=True,return_tensors="tf")

-> {"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask}
```


v3.4

Hi! Order doesn’t matter in a dictionary. 

It only matters if you use the arguments as positional arguments, which is not recommended.<|||||>@LysandreJik 

So, order does matter when using lists? What is now the right order?
<|||||>This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.

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