code: def __init__(self, config, *args, **kwargs):
      super().__init__(config, *args, **kwargs)
      self.transformer = XLMRobertaModel(config)
      self.LinearTransformation = torch.nn.Linear(
          in_features=config.transformerDimensions,
          out_features=config.numDims,
      )
  
file_path: llmga/llmga/diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py
imports: import torch
  from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
label_desc: Use image node_id 1 to create a new MultilingualCLIP object from inherited base classes: PreTrainedModel with example: obj = MultilingualCLIP(config)