如何连接transreid和cnn模型

对于您的问题，可以使用以下代码连接transreid和cnn模型：

import torch
from transformers import AutoTokenizer, AutoModel

# Load transreid model
transreid_tokenizer = AutoTokenizer.from_pretrained("model/transreid")
transreid_model = AutoModel.from_pretrained("model/transreid")

# Load cnn model
cnn_tokenizer = AutoTokenizer.from_pretrained("model/cnn")
cnn_model = AutoModel.from_pretrained("model/cnn")

# Connect transreid and cnn models
input_ids = torch.randint(0, 100, (1, 128))
outputs = transreid_model(input_ids)
last_hidden_state = outputs.last_hidden_state
pooled_output = torch.mean(last_hidden_state, dim=1)
outputs = cnn_model(last_hidden_state, pooled_output)

这段代码加载了transreid和cnn模型的tokenizer和model，然后利用transreid的输出作为cnn的输入，连接起来形成一个串联模型。当然，具体的细节还需要根据您的具体需要进行调整。