code: def gpt2():
      mergeable_ranks = data_gym_to_mergeable_bpe_ranks(
          vocab_bpe_file="https://openaipublic.blob.core.windows.net/gpt-2/encodings/main/vocab.bpe",
          encoder_json_file="https://openaipublic.blob.core.windows.net/gpt-2/encodings/main/encoder.json",
      )
      return {
          "name": "gpt2",
          "explicit_n_vocab": 50257,
          "pat_str": r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""",
          "mergeable_ranks": mergeable_ranks,
          "special_tokens": {ENDOFTEXT: 50256},
      }
  
imports: from tiktoken.load import data_gym_to_mergeable_bpe_ranks, load_tiktoken_bpe
label_desc: Use image node_id 1 for calling a global function with example usage: gpt2() and returns: dict