code: def test_train2(self):
      model = BiaffineParser(
          embed=(VOCAB_SIZE, 10),
          pos_vocab_size=VOCAB_SIZE,
          pos_emb_dim=10,
          rnn_hidden_size=16,
          arc_mlp_size=10,
          label_mlp_size=10,
          num_label=NUM_CLS,
          encoder="transformer",
      )
      ds = prepare_parser_data()
      RUNNER.run_model(model, ds, metrics=ParserMetric())
  
file_path: fastNLP/tests/models/torch/test_biaffine_parser.py
imports: import pytest
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
  from fastNLP import Metric, seq_len_to_mask
  from .model_runner import *
label_desc: Use image node_id 2 for calling the TestBiaffineParser obj's underlying member method code with example usage: obj.test_train2() without return types