code: def test_add_embedding_tokens(self):
      model = self.get_model()
      tokenizer = AutoTokenizer.from_pretrained("tests/fixtures/SiBERT")
      self.assertEqual(tokenizer.vocab_size, 10000)
      tokenizer.add_tokens(["test_token"])
      model.add_embeddings("test", tokenizer)
      self.assertEqual(
          model.get_input_embeddings().num_embeddings, 10001
      )
  
file_path: adapters/tests/test_adapter_embeddings.py
imports: import copy
  import tempfile
  import torch
  from adapters import AutoAdapterModel
  from transformers import AutoTokenizer, Trainer, TrainingArguments
  from transformers.testing_utils import require_torch, torch_device
label_desc: Use image node_id 3 for calling the EmbeddingTestMixin obj's underlying member method code with example usage: obj.test_add_embedding_tokens() without return types