code: def param_count(model):
      return sum(
          p[1].numel()
          for p in model.named_parameters()
          if "final_proj" not in p[0]
      )
  
file_path: transformers/src/transformers/models/seamless_m4t_v2/convert_fairseq2_to_hf.py
imports: import argparse
  import os
  from pathlib import Path
  import torch
  from accelerate.utils.modeling import find_tied_parameters
  from seamless_communication.inference import Translator
  from transformers import SeamlessM4TFeatureExtractor, SeamlessM4TProcessor, SeamlessM4TTokenizer, SeamlessM4Tv2Config, SeamlessM4Tv2Model
  from transformers.utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: param_count(model) and returns: sum