[Python] Why model parameters are empty?

import numpy as np
import tensorflow as tp

# Importing imdb dataset
from tensorflow.keras.datasets import imdb
from tensorflow.keras.preprocessing import sequence
# The sequence module in tensorflow.keras.preprocessing provides utilities for preprocessing sequence data, such as text or time-series data.

from tensorflow.keras.models import Sequential
# The sequence module in tensorflow.keras.preprocessing provides utilities for preprocessing sequence data, such as text or time-series data.

from tensorflow.keras.layers import Embedding, SimpleRNN, Dense

# Define the model
model = Sequential()

# Add the Embedding layer
model.add(Embedding(1000, 128)) # Adjust the vocabulary size (1000) as needed

# Print the summary of the model to check the parameters
model.summary()

# Add the SimpleRNN layer
model.add(SimpleRNN(128, activation='relu'))

# Add the Dense output layer
model.add(Dense(1, activation='sigmoid'))

# Print the model layers
print(model.layers)

# Print the summary to check the parameters
model.summary()


I am trying to create a model using simpleRNN. What is the issue here? I get trainable params as 0:

Total params: 0 (0.00 B)
Trainable params: 0 (0.00 B)
Non-trainable params: 0 (0.00 B)

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