code: def describe(self, attribute: Optional[str] = None) -> pd.DataFrame:
      args = self.model_storage.json_get("args")
  
      if attribute == "args":
          return pd.DataFrame(args.items(), columns=["key", "value"])
  
file_path: mindsdb/mindsdb/integrations/handlers/sentence_transformers_handler/sentence_transformers_handler.py
imports: from typing import Optional
  import pandas
  from mindsdb.integrations.handlers.sentence_transformers_handler.settings import Parameters
  from mindsdb.integrations.handlers.rag_handler.settings import load_embeddings_model, df_to_documents
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.utilities import log
label_desc: Use image node_id 4 for calling the SentenceTransformersHandler obj's underlying member method code with example usage: obj.describe(attribute) and returns: pd