code: def predict_translation(self, pipeline, item, args):
      result = pipeline([item], max_length=args["max_length"])[0]
  
      final = {}
      final[args["target"]] = result["translation_text"]
  
      return final
  
file_path: mindsdb/mindsdb/integrations/handlers/huggingface_handler/huggingface_handler.py
imports: from typing import Dict, Optional
  import pandas
  import transformers
  from huggingface_hub import HfApi
  from mindsdb.integrations.handlers.huggingface_handler.settings import FINETUNE_MAP
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.utilities import log
label_desc: Use image node_id 5 for calling the HuggingFaceHandler obj's underlying member method code with example usage: obj.predict_translation(pipeline, item, args) and returns: final