code: def model_loader(buffer: io.BytesIO) -> torch.nn.Module:
      model = create_model("efficientnet_b0", pretrained=False).eval()
      model.load_state_dict(torch.load(buffer))
      return model
  
file_path: chitra/examples/src/deployment/aws-lambda/app.py
imports: import io
  import numpy
  import torch
  from loguru import logger
  from timm import create_model
  from chitra.core import load_imagenet_labels
  from chitra.image import Chitra
  from chitra.serve.cloud.aws_serverless import ChaliceServer
label_desc: Use image node_id 3 for calling a global function with example usage: model_loader(buffer) and returns: model