class_docstr: Model for causal language modeling problem type.
code: def generate(self, batch: Dict, cfg: Any, streamer=None):
      return generate(
          backbone=self.backbone,
          batch=batch,
          cfg=cfg,
          streamer=streamer,
          remove_prompt=False,
      )
  
file_path: h2o-llmstudio/llm_studio/src/models/text_sequence_to_sequence_modeling_model.py
imports: import logging
  from typing import Any, Dict
  import torch.nn
  from transformers import AutoModelForSeq2SeqLM
  from llm_studio.src.metrics.text_causal_language_modeling_metrics import Perplexity
  from llm_studio.src.utils.data_utils import batch_padding
  from llm_studio.src.utils.modeling_utils import create_nlp_backbone, generate, prepare_lora
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.generate(batch, cfg, streamer) and returns: generate