code: def example_forward_input(self):
      return {"input_ids": torch.randint(1000, size=(1, 100))}
  
file_path: lightning-flash/tests/text/embedding/test_model.py
imports: import os
  from typing import Any
  import flash
  import pytest
  import torch
  from flash.core.utilities.imports import _TOPIC_TEXT_AVAILABLE
  from flash.text import TextClassificationData, TextEmbedder
  from torch import Tensor
  from tests.helpers.task_tester import TaskTester
label_desc: Use image node_id 1 for calling the TestTextEmbedder obj's underlying member method code with example usage: obj.example_forward_input() and returns: dict