glossary#input-ids)

            - **entity_position_ids** -- List of entity positions in the input sequence to be fed to a model.

            - **entity_token_type_ids** -- List of entity token type ids to be fed to a model (when
              `return_token_type_ids=True` or if *"entity_token_type_ids"* is in `self.model_input_names`).

              [What are token type IDs?](../glossary#token-type-ids)

            - **entity_attention_mask** -- List of indices specifying which entities should be attended to by the model
              (when `return_attention_mask=True` or if *"entity_attention_mask"* is in `self.model_input_names`).

              [What are attention masks?](../glossary#attention-mask)

            - **entity_start_positions** -- List of the start positions of entities in the word token sequence (when
              `task="entity_span_classification"`).
            - **entity_end_positions** -- List of the end positions of entities in the word token sequence (when
              `task="entity_span_classification"`).
            - **overflowing_tokens** -- List of overflowing tokens sequences (when a `max_length` is specified and
              `return_overflowing_tokens=True`).
            - **num_truncated_tokens** -- Number of tokens truncated (when a `max_length` is specified and
              `return_overflowing_tokens=True`).
            - **special_tokens_mask** -- List of 0s and 1s, with 1 specifying added special tokens and 0 specifying
              regular sequence tokens (when `add_special_tokens=True` and `return_special_tokens_mask=True`).
            - **length** -- The length of the inputs (when `return_length=True`)

c