code: def test_transformers_keep_tokenizer_bloom_when_saving(
      self, results_base_path
  ):
      embeddings = TransformerWordEmbeddings(
          "Muennighoff/bloom-tiny-random"
      )
      results_base_path.mkdir(exist_ok=True, parents=True)
      initial_tagger_path = results_base_path / "initial_tokenizer.pk"
      reloaded_tagger_path = results_base_path / "reloaded_tokenizer.pk"
  
      initial_tagger = SequenceTagger(embeddings, Dictionary(), "ner")
  
      initial_tagger.save(initial_tagger_path)
      reloaded_tagger = SequenceTagger.load(initial_tagger_path)
  
      reloaded_tagger.save(reloaded_tagger_path)
  
imports: import importlib.util
  import warnings
  import pytest
  import torch
  from PIL import Image
  from transformers.utils import is_detectron2_available
  from flair.data import BoundingBox, Dictionary, Sentence
  from flair.embeddings import TransformerJitWordEmbeddings, TransformerWordEmbeddings
  from flair.models import SequenceTagger
  from tests.embedding_test_utils import BaseEmbeddingsTest
label_desc: Use image node_id 13 for calling the TestTransformerWordEmbeddings obj's underlying member method code with example usage: obj.test_transformers_keep_tokenizer_bloom_when_saving(results_base_path) without return types