code: def __init__(
      self,
      model_name: str = "openai/clip-vit-base-patch32",
      processor_name=None,
  ):
      super(CLIPModel, self).__init__()
  
      if processor_name is None:
          processor_name = model_name
  
      self.model = transformers.CLIPModel.from_pretrained(model_name)
      self.processor = transformers.CLIPProcessor.from_pretrained(
          processor_name
      )
  
file_path: sentence-transformers/sentence_transformers/models/CLIPModel.py
imports: from torch import nn
  import transformers
  import torch
  from PIL import Image
label_desc: Use image node_id 1 to create a new CLIPModel object from inherited base classes: nn with example: obj = CLIPModel(model_name, processor_name)