code: def load_sentence_embedder():
      print("Loading model...")
      return INSTRUCTOR("hkunlp/instructor-xl")
  
file_path: interpret-text/python/interpret_text/generative/app_hierarchical.py
imports: import streamlit
  import os
  import torch
  import pandas
  import transformers
  from accelerate import Accelerator
  from functools import partial
  from lime_tools.explainers import LocalExplanationHierarchical, LocalExplanationSentenceEmbedder, LocalExplanationLikelihood
  from lime_tools.text_utils import split_into_sentences, extract_non_overlapping_ngrams
  from model_lib.openai_tooling import CompletionsOpenAI
  from model_lib.hf_tooling import HF_LM
  from model_lib.streamlit_frontend import css, explanation_text, start_frontend, ProgressBar
label_desc: Use image node_id 2 for calling a global function with example usage: load_sentence_embedder() and returns: INSTRUCTOR