Add NSP Labels Handling to DataCollatorForWholeWordMask for Simultaneous WWM and NSP Pre-training
Author: callanwu
Pull request: yes

# What does this PR do?

Integrating NSP with WWM allows for a more comprehensive pre-training of Encoder-only models, leveraging the benefits of both tasks to improve model performance and robustness.

- Modified `torch_call`, `tf_call`, and `numpy_call` methods in `DataCollatorForWholeWordMask` to process NSP labels.
- Updated input handling to include `next_sentence_label` and `token_type_ids` if present in the input examples.
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Fixes # (issue)


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