src/transformers/models/big_bird/convert_bigbird_original_tf_checkpoint_to_pytorch.py/convert_tf_checkpoint_to_pytorch
def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, big_bird_config_file, pytorch_dump_path, is_trivia_qa):
    # Initialise PyTorch model
    config = BigBirdConfig.from_json_file(big_bird_config_file)
    print(f"Building PyTorch model from configuration: {config}")

    if is_trivia_qa:
        model = BigBirdForQuestionAnswering(config)
    else:
        model = BigBirdForPreTraining(config)

    # Load weights from tf checkpoint
    load_tf_weights_in_big_bird(model, tf_checkpoint_path, is_trivia_qa=is_trivia_qa)

    # Save pytorch-model
    print(f"Save PyTorch model to {pytorch_dump_path}")
    model.save_pretrained(pytorch_dump_path)