docstr: Returns the position embeddings
docstr_tok: ["Returns","the","position","embeddings"]
code: def get_position_embeddings(self) -> nn.Embedding:
      """
      Returns the position embeddings
      """
      return self.distilbert.get_position_embeddings()
  
imports: import torch.nn
  from transformers.models.distilbert.modeling_distilbert import DISTILBERT_INPUTS_DOCSTRING, DISTILBERT_START_DOCSTRING, DistilBertModel, DistilBertPreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...heads import BertStyleMaskedLMHead, BiaffineParsingHead, CausalLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, MultipleChoiceHead, QuestionAnsweringHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 2 for calling the DistilBertAdapterModel obj's underlying member method code with example usage: obj.get_position_embeddings() and returns: self