src/transformers/pipelines/table_question_answering.py/TableQuestionAnsweringPipeline/_forward
class TableQuestionAnsweringPipeline:    def _forward(self, model_inputs, sequential=False):
        table = model_inputs.pop("table")
        outputs = self.sequential_inference(**model_inputs) if sequential else self.batch_inference(**model_inputs)
        model_outputs = {"model_inputs": model_inputs, "table": table, "outputs": outputs}
        return model_outputs