code: def __init__(self):
      import torch, torch_neuronx  # noqa
      from transformers import AutoTokenizer
  
      self.model = torch.jit.load(neuron_model)
      self.tokenizer = AutoTokenizer.from_pretrained(hf_model)
      self.classmap = {
          0: "anger",
          1: "disgust",
          2: "fear",
          3: "joy",
          4: "neutral",
          5: "sadness",
          6: "surprise",
      }
  
file_path: ray/doc/source/serve/doc_code/aws_neuron_core_inference_serve.py
imports: from transformers import AutoModelForSequenceClassification, AutoTokenizer
  import torch, torch_neuronx
  from fastapi import FastAPI
  import torch
  from ray import serve
  from ray.serve.handle import DeploymentHandle
label_desc: Use image node_id 1 to create a new BertBaseModel object  with example: obj = BertBaseModel()