class_docstr: Constraint using similarity between sentence encodings of x and x_adv
  where the text embeddings are created using the Multilingual Universal
  Sentence Encoder.
code: def encode(self, sentences):
      return self.model(sentences).numpy()
  
file_path: TextAttack/textattack/constraints/semantics/sentence_encoders/universal_sentence_encoder/multilingual_universal_sentence_encoder.py
imports: from textattack.constraints.semantics.sentence_encoders import SentenceEncoder
  from textattack.shared.utils import LazyLoader
label_desc: Use image node_id 2 for calling the MultilingualUniversalSentenceEncoder obj's underlying member method code with example usage: obj.encode(sentences) and returns: self