class_docstr: A component for embedding strings using Sentence Transformers models.
  
  Usage example:
  ```python
  from haystack.components.embedders import SentenceTransformersTextEmbedder
  
  text_to_embed = "I love pizza!"
  
  text_embedder = SentenceTransformersTextEmbedder()
  text_embedder.warm_up()
  
  print(text_embedder.run(text_to_embed))
  
  # {'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_text_embedder.py
imports: from typing import List, Optional, Union, Dict, Any
  from haystack import component, default_to_dict
  from haystack.components.embedders.backends.sentence_transformers_backend import _SentenceTransformersEmbeddingBackendFactory
label_desc: Use image node_id 2 for calling the SentenceTransformersTextEmbedder obj's underlying member method code with example usage: obj._get_telemetry_data() and returns: dict