class_docstr: Class to manage Sentence Transformers embeddings.
code: def __init__(
      self,
      model: str,
      device: Optional[str] = None,
      use_auth_token: Union[bool, str, None] = None,
  ):
      sentence_transformers_import.check()
      self.model = SentenceTransformer(
          model_name_or_path=model,
          device=device,
          use_auth_token=use_auth_token,
      )
  
imports: from typing import List, Optional, Union, Dict
  from haystack.lazy_imports import LazyImport
label_desc: Use image node_id 1 to create a new _SentenceTransformersEmbeddingBackend object  with example: obj = _SentenceTransformersEmbeddingBackend(model, device, use_auth_token)