docstr: creates embeddings model and persists
docstr_tok: ["creates","embeddings","model","and","persists"]
code: def create(self, target, df=None, args=None, **kwargs):
      """creates embeddings model and persists"""
  
      args = args["using"]
  
      valid_args = Parameters(**args)
      self.model_storage.json_set("args", valid_args.dict())
  
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 2 for calling the SentenceTransformersHandler obj's underlying member method code with example usage: obj.create(target, df, args) without return types