class_docstr: A DJL Handler class template that uses the default DeepSpeed, FasterTransformer, and HuggingFaceAccelerate Handlers
  
  Reference the default handlers here:
  - https://github.com/deepjavalibrary/djl-serving/blob/master/engines/python/setup/djl_python/deepspeed.py
  - https://github.com/deepjavalibrary/djl-serving/blob/master/engines/python/setup/djl_python/fastertransformer.py
  - https://github.com/deepjavalibrary/djl-serving/blob/master/engines/python/setup/djl_python/huggingface.py
docstr: Template method used to invoke the model. Please implement this if you'd like to construct your own script
docstr_tok: ["Template","method","used","to","invoke","the","model",".","Please","implement","this","if","you","'d","like","to","construct","your","own","script"]
code: def inference(self, inputs: Input):
      """Template method used to invoke the model. Please implement this if you'd like to construct your own script"""
  
imports: from __future__ import absolute_import
  from djl_python.inputs import Input
  from djl_python.outputs import Output
label_desc: Use image node_id 3 for calling the HandleTemplate obj's underlying member method code with example usage: obj.inference(inputs) without return types