oncé" and "Los Angeles"

        >>> encoding = tokenizer(
        ...     text, entities=entities, entity_spans=entity_spans, add_prefix_space=True, return_tensors="pt"
        ... )
        >>> outputs = model(**encoding)
        >>> word_last_hidden_state = outputs.last_hidden_state
        >>> entity_last_hidden_state = outputs.entity_last_hidden_state
        ```NzDYou cannot specify both input_ids and inputs_embeds at the same timerV