code: def spec_bert():
      from extra.models.bert import BertForQuestionAnswering
  
      mdl = BertForQuestionAnswering()
      # mdl.load_from_pretrained()
      x = Tensor.randn(1, 384)
      am = Tensor.randn(1, 384)
      tt = Tensor(np.random.randint(0, 2, (1, 384)).astype(np.float32))
      test_model(mdl, x, am, tt)
  
file_path: tinygrad/examples/mlperf/model_spec.py
imports: from tinygrad import Tensor, GlobalCounters
  from tinygrad.helpers import getenv
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: spec_bert() without return types