code: def check_inference():
      url = "https://huggingface.co/datasets/sayakpaul/sample-datasets/resolve/main/pokemon.png"
      prompts = [
          url,
          "Question: What's on the picture? Answer:",
      ]
  
      inputs = processor(prompts, return_tensors="pt").to(device)
      generated_ids = model.generate(**inputs, max_length=150)
      generated_text = processor.batch_decode(
          generated_ids, skip_special_tokens=True
      )[0]
      print(generated_text)
  
imports: import torch
  import torchvision.transforms
  from datasets import load_dataset
  from PIL import Image
  from transformers import IdeficsForVisionText2Text, AutoProcessor, Trainer, TrainingArguments
label_desc: Use image node_id 1 for calling a global function with example usage: check_inference() without return types