code: def _main():
      keys = [
          # pretrained
          "facebook/wav2vec2-base",
          "facebook/wav2vec2-large",
          "facebook/wav2vec2-large-lv60",
          "facebook/wav2vec2-base-10k-voxpopuli",
          "facebook/wav2vec2-large-xlsr-53",
          # finetuned
          "facebook/wav2vec2-base-960h",
          "facebook/wav2vec2-large-960h",
          "facebook/wav2vec2-large-960h-lv60",
          "facebook/wav2vec2-large-960h-lv60-self",
          "facebook/wav2vec2-large-xlsr-53-german",
      ]
      for key in keys:
          path = os.path.join(_THIS_DIR, f"{key}.json")
          print("Generating ", path)
          cfg = Wav2Vec2Model.from_pretrained(key).config
          cfg = json.loads(cfg.to_json_string())
          del cfg["_name_or_path"]
  
          with open(path, "w") as file_:
              file_.write(json.dumps(cfg, indent=4, sort_keys=True))
              file_.write("\n")
  
imports: import json
  import os
  from transformers import Wav2Vec2Model
label_desc: Use image node_id 1 for calling a global function with example usage: _main() without return types