class_docstr: Abstract base class for embedding inputs into vectors.
docstr: Compute embeddings for a batch of inputs.
  
  Args:
      inputs: Sequence of inputs to embed.
  
  Returns:
      Embeddings for each input in `inputs`.
code: def embed(self, inputs: Sequence[Any]) -> BatchEmbeddings:
      """Compute embeddings for a batch of inputs.
  
      Args:
          inputs: Sequence of inputs to embed.
  
      Returns:
          Embeddings for each input in `inputs`.
      """
      raise NotImplementedError
  
file_path: unisim/unisim/embedder/embedder.py
imports: from abc import ABC, abstractmethod
  from pathlib import Path
  from typing import Any, List, Sequence, Union
  import numpy
  from ..None import backend
  from ..types import BatchEmbeddings
label_desc: Use image node_id 3 for calling the Embedder obj's underlying member method code with example usage: obj.embed(inputs) without return types