docstr: test that embeddings are created correctly
code: def test_sentence_transformers(self):
      """
      test that embeddings are created correctly
      """
  
      df = pd.DataFrame(
          data={"content": ["hello", "world", "how are you"]}
      )
  
      self.save_file("df", df)
  
      # create project
      self.run_sql("create database proj")
  
      # create model
  
      self.run_sql(
          """
              create model proj.test_hf_embeddings
              predict content
              using engine="sentence_transformers"
              """
      )
  
      self.wait_predictor("proj", "test_hf_embeddings")
  
      # get embeddings from df
  
      ret = self.run_sql(
          """
              select * from proj.test_hf_embeddings
              where content = (select content from files.df)
              """
      )
  
      assert ret.shape == (3, 3)
  
file_path: mindsdb/mindsdb/integrations/handlers/sentence_transformers_handler/tests/test_sentence_transformers.py
imports: import time
  import pandas
  from mindsdb_sql import parse_sql
  from tests.unit.executor_test_base import BaseExecutorTest
label_desc: Use image node_id 3 for calling the TestSentenceTransformers obj's underlying member method code with example usage: obj.test_sentence_transformers() without return types