readme: ---
  tags:
  - ci
  ---
  
  ## Dummy model used for unit testing and CI
  
  
  ```python
  import json
  import os
  from transformers import RobertaConfig, RobertaForMaskedLM, TFRobertaForMaskedLM
  
  DIRNAME = "./dummy-unknown"
  
  
  config = RobertaConfig(10, 20, 1, 1, 40)
  
  model = RobertaForMaskedLM(config)
  model.save_pretrained(DIRNAME)
  
  tf_model = TFRobertaForMaskedLM.from_pretrained(DIRNAME, from_pt=True)
  tf_model.save_pretrained(DIRNAME)
  
  # Tokenizer:
  
  vocab = [
      "l",
      "o",
      "w",
      "e",
      "r",
      "s",
      "t",
      "i",
      "d",
      "n",
      "\u0120",
      "\u0120l",
      "\u0120n",
      "\u0120lo",
      "\u0120low",
      "er",
      "\u0120lowest",
      "\u0120newer",
      "\u0120wider",
      "<unk>",
  ]
  vocab_tokens = dict(zip(vocab, range(len(vocab))))
  merges = ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
  
  vocab_file = os.path.join(DIRNAME, "vocab.json")
  merges_file = os.path.join(DIRNAME, "merges.txt")
  with open(vocab_file, "w", encoding="utf-8") as fp:
      fp.write(json.dumps(vocab_tokens) + "\n")
  with open(merges_file, "w", encoding="utf-8") as fp:
      fp.write("\n".join(merges))
  ```
  