class_docstr: Model for causal language modeling problem type.
class_docstr_tok: ["Model","for","causal","language","modeling","problem","type","."]
code: def init_deepspeed(self):
      self.backward = self.backbone.backward
      self.save_checkpoint = self.backbone.save_checkpoint
      self.save_16bit_model = self.backbone.save_16bit_model
      if self.cfg.training.lora:
          self.backbone.base_model.model.config = (
              self.backbone.base_model.model.module.config
          )
          self.backbone.base_model.model.generation_config = (
              self.backbone.base_model.model.module.generation_config
          )
      else:
          self.backbone.config = self.backbone.module.config
          self.backbone.generation_config = (
              self.backbone.module.generation_config
          )
  
file_path: h2o-llmstudio/llm_studio/src/models/text_causal_language_modeling_model.py
imports: import logging
  from typing import Any, Dict
  from torch import nn
  from transformers import AutoModelForCausalLM
  from llm_studio.src.metrics.text_causal_language_modeling_metrics import Perplexity
  from llm_studio.src.utils.data_utils import batch_padding
  from llm_studio.src.utils.modeling_utils import create_nlp_backbone, generate, prepare_lora
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.init_deepspeed() without return types