我可以在keras中将嵌入层与形状(?，5)的层连接起来吗？

import tensorflow as tf
from tensorflow import keras

# 嵌入层
embedding_layer = keras.layers.Embedding(input_dim=num_categories, output_dim=embedding_dim)

# 输入张量
input_tensor = keras.Input(shape=(5,), dtype='int32')

# 嵌入层与形状(?,5)的层连接
embedded_tensor = embedding_layer(input_tensor)
concatenated_tensor = keras.layers.concatenate([embedded_tensor, input_tensor])

# 输出层
output_tensor = keras.layers.Dense(units=num_classes, activation='softmax')(concatenated_tensor)

# 构建模型
model = keras.Model(inputs=input_tensor, outputs=output_tensor)