class_docstr: Base class for multi-modal image-text data
  
  Args:
      opts: Command-line arguments
class_docstr_tok: ["Base","class","for","multi-modal","image-text","data","Args",":","opts",":","Command-line","arguments"]
code: def __init__(self, opts, *args, **kwargs) -> None:
      super().__init__(opts, *args, **kwargs)
      self.lr_multiplier_img_encoder = getattr(
          opts, "model.multi_modal_image_text.lr_multiplier_img_encoder"
      )
      self.lr_multiplier_text_encoder = getattr(
          opts,
          "model.multi_modal_image_text.lr_multiplier_text_encoder",
      )
  
imports: import argparse
  from cvnets.models import MODEL_REGISTRY, BaseAnyNNModel
label_desc: Use image node_id 1 to create a new BaseMultiModalImageText object from inherited base classes: BaseAnyNNModel with example: obj = BaseMultiModalImageText(opts)