 Note: some models have slightly different qn/ctxt format. See the github repo. ] input_ids = tokenizer(     input_texts, return_tensors="pt",     truncation=True, max_length=800,     add_special_tokens=True, padding=True, )["input_ids"] generated_ids = model.generate(input_ids, min_length=1,  max_length=50) generated_predictions = tokenizer.batch_decode(generated_ids, skip_special_tokens=False) generated_predictions = [     tokenizer.fix_decoded_text(generated_prediction) for generated_prediction in generated_predictions ] 