docstr: Initialize the `ArgillaSpaCyTrainer` class.
  
  Args:
      freeze_tok2vec: A `bool` indicating whether to freeze the `tok2vec` weights
          during the training. Defaults to False.
      **kwargs: The `ArgillaSpaCyTrainerBase` arguments.
  
  Examples:
      >>> from argilla import ArgillaSpaCyTrainer
      >>> trainer = ArgillaSpaCyTrainer(
docstr_tok: ["Initialize","the","`","ArgillaSpaCyTrainer","`","class",".","Args",":","freeze_tok2vec",":","A","`","bool","`","indicating","whether","to","freeze","the","`","tok2vec","`","weights","during","the","training",".","Defaults","to","False",".","*","*","kwargs",":","The","`","ArgillaSpaCyTrainerBase","`","arguments",".","Examples",":",">",">",">","from","argilla","import","ArgillaSpaCyTrainer",">",">",">","trainer","=","ArgillaSpaCyTrainer","("]
code: def __init__(self, freeze_tok2vec: bool = False, **kwargs) -> None:
      """Initialize the `ArgillaSpaCyTrainer` class.
  
      Args:
          freeze_tok2vec: A `bool` indicating whether to freeze the `tok2vec` weights
              during the training. Defaults to False.
          **kwargs: The `ArgillaSpaCyTrainerBase` arguments.
  
      Examples:
          >>> from argilla import ArgillaSpaCyTrainer
          >>> trainer = ArgillaSpaCyTrainer(
      """
      self.freeze_tok2vec = freeze_tok2vec
      _ArgillaSpaCyTrainerBase.__init__(self, **kwargs)
  
imports: import logging
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from typing import TYPE_CHECKING, Optional
  from typing_extensions import Literal
  from argilla.client.feedback.training.base import ArgillaTrainerSkeleton
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training.spacy import ArgillaSpaCyTrainer
  from argilla.training.spacy import ArgillaSpaCyTransformersTrainer
  from argilla.training.spacy import _ArgillaSpaCyTrainerBase
  from argilla.utils.dependency import require_dependencies, requires_dependencies
label_desc: Use image node_id 1 to create a new ArgillaSpaCyTrainer object from inherited base classes: ArgillaSpaCyTrainerV1, _ArgillaSpaCyTrainerBase with example: obj = ArgillaSpaCyTrainer(freeze_tok2vec)