code: def patch_tokenizer(model, tokenizer):
      model.config.update({"unsloth_version": __version__})
      if (
          not hasattr(tokenizer, "pad_token")
          or tokenizer.pad_token is None
      ):
          # Fixes https://github.com/unslothai/unsloth/issues/5
          if hasattr(tokenizer, "unk_token"):
              tokenizer.add_special_tokens(
                  {"pad_token": tokenizer.unk_token}
              )
              tokenizer.pad_token = tokenizer.unk_token
          else:
              logger.warning_one(
                  f"{model.config._name_or_path} does not have a padding or unknown token!\n"
                  f"Will use the EOS token of id {tokenizer.eos_token_id} as padding."
              )
              assert hasattr(tokenizer, "eos_token")
              tokenizer.add_special_tokens(
                  {"pad_token": tokenizer.eos_token}
              )
              tokenizer.pad_token = tokenizer.eos_token
          config = model.config.update(
              {"pad_token_id": tokenizer.eos_token_id}
          )
      pass
      return model, tokenizer
  
file_path: unsloth/unsloth/models/_utils.py
imports: import torch
  from typing import Union, Optional, List, Any, Callable
  import numpy
  import warnings
  import gc
  import bitsandbytes
  from transformers.models.llama.modeling_llama import logger
  from transformers import AutoTokenizer
  from platform import system
  import xformers.ops.fmha
  from xformers import __version__
  from peft.tuners.lora.layer import LoraLayer
  from peft.tuners.lora import LoraLayer
label_desc: Use image node_id 2 for calling a global function with example usage: patch_tokenizer(model, tokenizer) and returns: model,  tokenizer