code: def test_FerminetModel_pretrain():
      # Test for the init function of FerminetModel class
      H2_molecule = [["H", [0, 0, 0]], ["H", [0, 0, 0.748]]]
      # Testing ionic initialization
      mol = FerminetModel(H2_molecule, spin=0, ion_charge=0)
      mol.train(nb_epoch=3)
      assert mol.loss_value <= torch.tensor(1.0)
  
file_path: deepchem/deepchem/models/tests/test_ferminet.py
imports: import pytest
  import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: test_FerminetModel_pretrain() without return types