code: def generate_with_offset(lm_model, input_ids, offset=None):
      if offset is None:
          offset = lm_model.config.offset
      input_len = int(input_ids.shape[-1])
      generation_len = int(min(250, 3 * input_len))
      input_ids = input_ids.to(lm_model.device)
      generated_ids = lm_model.generate(
          offset + input_ids,
          max_length=generation_len,
          do_sample=True,
          temperature=0.8,
      )
      return generated_ids - offset
  
file_path: textlesslib/examples/twist/speech_lm.py
imports: from transformers import AutoModelForCausalLM
  import torch
  import os
  import wget
  import zipfile
label_desc: Use image node_id 4 for calling a global function with example usage: generate_with_offset(lm_model, input_ids, offset) and returns: unknown