code: def test_load_embeddings(self):
      model = self.get_model()
      with tempfile.TemporaryDirectory() as tmp_dir:
          model.save_embeddings(tmp_dir, "default")
          model.load_embeddings(tmp_dir, "test")
  
      self.assertEqual(model.active_embeddings, "test")
  
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 1 for calling the EmbeddingTestMixin obj's underlying member method code with example usage: obj.test_load_embeddings() without return types