class_docstr: A Dictionary with some additional logic to return a function that creates the correct original model.
class_docstr_tok: ["A","Dictionary","with","some","additional","logic","to","return","a","function","that","creates","the","correct","original","model","."]
code: def convert_name_to_timm(self, x: str) -> str:
      x_split = x.split("-")
      return x_split[0] + x_split[1] + "_" + "".join(x_split[2:])
  
imports: import argparse
  import json
  from dataclasses import dataclass, field
  from functools import partial
  from pathlib import Path
  from typing import Callable, Dict, List, Tuple
  import torch
  import torch.nn
  from torch import Tensor
  import timm
  from classy_vision.models.regnet import RegNet, RegNetParams, RegNetY32gf, RegNetY64gf, RegNetY128gf
  from huggingface_hub import cached_download, hf_hub_url
  from transformers import AutoFeatureExtractor, RegNetConfig, RegNetForImageClassification, RegNetModel
  from transformers.utils import logging
  from vissl.models.model_helpers import get_trunk_forward_outputs
label_desc: Use image node_id 1 for calling the NameToFromModelFuncMap obj's underlying member method code with example usage: obj.convert_name_to_timm(x) and returns: unknown