class_docstr: Classification Head for  transformer encoders
class_docstr_tok: ["Classification","Head","for","transformer","encoders"]
code: def __init__(self, class_size, embed_size):
      super().__init__()
      self.class_size = class_size
      self.embed_size = embed_size
      # self.mlp1 = nn.Linear(embed_size, embed_size)
      # self.mlp2 = (nn.Linear(embed_size, class_size))
      self.mlp = nn.Linear(embed_size, class_size)
  
imports: from torch import nn
label_desc: Use image node_id 1 to create a new ClassificationHead object from inherited base classes: nn with example: obj = ClassificationHead(class_size, embed_size)