code: def test_pipeline3():
      SEED = 1236
      set_seed(SEED)
  
      import torch
      from transformers import pipeline
  
      model_kwargs = dict(load_in_8bit=False)
      generate_text = pipeline(
          model="h2oai/h2ogpt-oig-oasst1-512-6_9b",
          torch_dtype=torch.bfloat16,
          trust_remote_code=True,
          device_map="auto",
          prompt_type="human_bot",
          model_kwargs=model_kwargs,
      )
  
      res = generate_text(
          "Why is drinking water so healthy?", max_new_tokens=100
      )
      print(res[0]["generated_text"])
  
      assert (
          "Drinking water is so healthy because it is full of nutrients and other beneficial substances"
          in res[0]["generated_text"]
      )
  
imports: import pytest
  from tests.utils import wrap_test_forked
  from src.utils import set_seed
label_desc: Use image node_id 4 for calling a global function with example usage: test_pipeline3() without return types