class_docstr: A component for computing Document embeddings using Sentence Transformers models.
  The embedding of each Document is stored in the `embedding` field of the Document.
  
  Usage example:
  ```python
  from haystack import Document
  from haystack.components.embedders import SentenceTransformersDocumentEmbedder
  doc = Document(content="I love pizza!")
  doc_embedder = SentenceTransformersDocumentEmbedder()
  doc_embedder.warm_up()
  
  result = doc_embedder.run([doc])
  print(result['documents'][0].embedding)
  
  # [-0.07804739475250244, 0.1498992145061493, ...]
  ```
docstr: Data that is sent to Posthog for usage analytics.
code: def _get_telemetry_data(self) -> Dict[str, Any]:
      """
      Data that is sent to Posthog for usage analytics.
      """
      return {"model": self.model}
  
file_path: haystack/haystack/components/embedders/sentence_transformers_document_embedder.py
imports: from typing import List, Optional, Union, Dict, Any
  from haystack import component, Document, default_to_dict
  from haystack.components.embedders.backends.sentence_transformers_backend import _SentenceTransformersEmbeddingBackendFactory
label_desc: Use image node_id 2 for calling the SentenceTransformersDocumentEmbedder obj's underlying member method code with example usage: obj._get_telemetry_data() and returns: dict