docstr: Create a copy of the model, its attributes, and its parameters. Any child
  layers will also be deep-copied. The copy will receive a distinct `model.id`
  value.
docstr_tok: ["Create","a","copy","of","the","model",",","its","attributes",",","and","its","parameters",".","Any","child","layers","will","also","be","deep-copied",".","The","copy","will","receive","a","distinct","`","model.id","`","value","."]
code: def copy(self):
      """
      Create a copy of the model, its attributes, and its parameters. Any child
      layers will also be deep-copied. The copy will receive a distinct `model.id`
      value.
      """
      copied = TransformerModel(self.name, self.attrs["get_spans"])
      params = {}
      for name in self.param_names:
          params[name] = (
              self.get_param(name) if self.has_param(name) else None
          )
      copied.params = copy.deepcopy(params)
      copied.dims = copy.deepcopy(self._dims)
      copied.layers[0] = copy.deepcopy(self.layers[0])
      for name in self.grad_names:
          copied.set_grad(name, self.get_grad(name).copy())
      return copied
  
imports: from typing import List, Tuple, Callable, Union, Dict
  import copy
  from pathlib import Path
  from transformers.file_utils import ModelOutput
  from transformers import AutoConfig, AutoModel, AutoTokenizer
  from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
  from transformers.tokenization_utils import BatchEncoding
  from spacy.tokens import Doc
  from thinc.api import Model, get_torch_default_device, xp2torch
  from thinc.types import ArgsKwargs
  import logging
  from ..data_classes import FullTransformerBatch, WordpieceBatch, HFObjects
  from ..util import maybe_flush_pytorch_cache
  from ..util import log_gpu_memory, log_batch_size
  from ..layers._util import replace_listener, replace_listener_cfg
  from ..truncate import truncate_oversize_splits
  from ..align import get_alignment, get_alignment_via_offset_mapping
  from .hf_wrapper import HFWrapper
label_desc: Use image node_id 6 for calling the TransformerModel obj's underlying member method code with example usage: obj.copy() and returns: copied