如何将精调的bert模型的输出作为输入提供给另一个精调的bert模型？

from transformers import BertModel, BertTokenizer
import torch

model = BertModel.from_pretrained('path_to_pretrained_model')
tokenizer = BertTokenizer.from_pretrained('path_to_pretrained_model')

text = "Your input text"
input_ids = tokenizer.encode(text, add_special_tokens=True)

with torch.no_grad():
    outputs = model(torch.tensor([input_ids]))
    hidden_states = outputs[0]
    pooled_output = outputs[1]

input_ids_2 = tokenizer.encode(hidden_states, add_special_tokens=True)

with torch.no_grad():
    outputs_2 = model_2(torch.tensor([input_ids_2]))
    hidden_states_2 = outputs_2[0]
    pooled_output_2 = outputs_2[1]