code: def __init__(self, **kwargs):
      super().__init__(
          sequential=True,
          use_vocab=False,
          batch_first=True,
          tokenize=data.no_tokenize,
          dtype=torch.float,
          unk_token=None,
          pad_token=None,
      )
      batch_size = TextFeatureField.dummy_model_input.size(0)
      num_tokens = TextFeatureField.dummy_model_input.size(1)
      embed_dim = kwargs.get("embed_dim", 0)
      self.dummy_model_input = torch.tensor(
          [[1.0] * embed_dim * num_tokens] * batch_size,
          dtype=torch.float,
          device="cpu",
      )
  
file_path: pytext/pytext/fields/contextual_token_embedding_field.py
imports: import copy
  from typing import List
  import torch
  from pytext.utils import data
  from .field import Field, TextFeatureField
label_desc: Use image node_id 1 to create a new ContextualTokenEmbeddingField object from inherited base classes: Field with example: obj = ContextualTokenEmbeddingField()