code: def load(cls, path, unk=None):
      with open(path, "r") as f:
          lines = [line for line in f]
      splits = [line.split() for line in lines]
      tokens, vectors = zip(
          *[(s[0], list(map(float, s[1:]))) for s in splits]
      )
  
      return cls(tokens, vectors, unk=unk)
  
file_path: underthesea/underthesea/utils/sp_embedding.py
imports: import torch
label_desc: Use image node_id 6 for calling the Embedding obj's underlying member method code with example usage: obj.load(cls, path, unk) and returns: cls