Tensorflow example squad's run_qa.py miss token_type_ids inputs
### System Info

transformers==4.20.1, torch==1.9.0, tensorflow2==2.9.

### 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

Steps to reproduce the behavior

1. Download SQuADv.11 fine-tuned bert large weights from: https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad
2. Successfully reproduce the inference F1-score by runing this [pytorch example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/question-answering/run_qa.py).
3. But fail to reproduce the inference f1-score by runing this [tensorflow2 example](https://github.com/huggingface/transformers/blob/main/examples/tensorflow/question-answering/run_qa.py).
4. The reason is the tensorflow example miss the token_type_ids inputs. I add this input at following position to solved this problem:

https://github.com/huggingface/transformers/blob/main/examples/tensorflow/question-answering/run_qa.py#L640
`        tensor_keys = ["attention_mask", "token_type_ids", "input_ids"]`

https://github.com/huggingface/transformers/blob/main/examples/tensorflow/question-answering/run_qa.py#L661
```
            eval_inputs = {
                "input_ids": tf.ragged.constant(processed_datasets["validation"]["input_ids"]).to_tensor(),
                "token_type_ids": tf.ragged.constant(processed_datasets["validation"]["token_type_ids"]).to_tensor(),
                "attention_mask": tf.ragged.constant(processed_datasets["validation"]["attention_mask"]).to_tensor(),
            }

```
https://github.com/huggingface/transformers/blob/main/examples/tensorflow/question-answering/run_qa.py#L681
```
            predict_inputs = {
                "input_ids": tf.ragged.constant(processed_datasets["test"]["input_ids"]).to_tensor(),
                "token_type_ids": tf.ragged.constant(processed_datasets["test"]["token_type_ids"]).to_tensor(),
                "attention_mask": tf.ragged.constant(processed_datasets["test"]["attention_mask"]).to_tensor(),
            }
```

### Expected behavior

Both pytorch and tensorflow example produce same F1-score based on [this weights](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad).
cc @Rocketknight1 <|||||>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.<|||||>This issue has been resolved by #18451