code: def test_from_dict(self):
      data = {
          "type": "haystack.components.rankers.transformers_similarity.TransformersSimilarityRanker",
          "init_parameters": {
              "device": "cuda",
              "model": "my_model",
              "token": None,
              "top_k": 5,
              "meta_fields_to_embed": [],
              "embedding_separator": "\n",
              "scale_score": False,
              "calibration_factor": None,
              "score_threshold": 0.01,
              "model_kwargs": {"torch_dtype": "torch.float16"},
          },
      }
  
      component = TransformersSimilarityRanker.from_dict(data)
      assert component.device == "cuda"
      assert component.model == "my_model"
      assert component.token is None
      assert component.top_k == 5
      assert component.meta_fields_to_embed == []
      assert component.embedding_separator == "\n"
      assert not component.scale_score
      assert component.calibration_factor is None
      assert component.score_threshold == 0.01
      # torch_dtype is correctly deserialized
      assert component.model_kwargs == {"torch_dtype": torch.float16}
  
file_path: haystack/test/components/rankers/test_transformers_similarity.py
imports: from unittest.mock import MagicMock, patch
  import pytest
  import torch
  from transformers.modeling_outputs import SequenceClassifierOutput
  from haystack import Document, ComponentError
  from haystack.components.rankers.transformers_similarity import TransformersSimilarityRanker
label_desc: Use image node_id 4 for calling the TestSimilarityRanker obj's underlying member method code with example usage: obj.test_from_dict() without return types