class_docstr: Model that maps input embeddings to output embeddings in the same dimensionality.
  
  This is used as a template for classes implementing a mapping between
  embeddings. Classes that inherit this class must implement an appropriate call
  function.
class_docstr_tok: ["Model","that","maps","input","embeddings","to","output","embeddings","in","the","same","dimensionality",".","This","is","used","as","a","template","for","classes","implementing","a","mapping","between","embeddings",".","Classes","that","inherit","this","class","must","implement","an","appropriate","call","function","."]
code: def __init__(self):
      super().__init__()
      pass
  
imports: import abc
  from typing import Union, Tuple, Sequence, Optional
  import tensorflow
  import tensorflow_hub
label_desc: Use image node_id 1 to create a new EmbeddingMapper object from inherited base classes: tf.keras with example: obj = EmbeddingMapper()