code: def test_hf_embedding():
      try:
          # huggingface/microsoft/codebert-base
          # huggingface/facebook/bart-large
          response = embedding(
              model="huggingface/sentence-transformers/all-MiniLM-L6-v2",
              input=[
                  "good morning from litellm",
                  "this is another item",
              ],
          )
          print(f"response:", response)
      except Exception as e:
          # Note: Huggingface inference API is unstable and fails with "model loading errors all the time"
          pass
  
imports: import sys, os
  import traceback
  import pytest
  from dotenv import load_dotenv
  import openai
  import litellm
  from litellm import embedding, completion
label_desc: Use image node_id 10 for calling a global function with example usage: test_hf_embedding() without return types