tf.keras.layers.Embedding(
    input_dim,        # Vocabulary size (max index + 1)
    output_dim,       # Embedding dimension  
    mask_zero=False,  # Whether index 0 represents padding
    embeddings_initializer='uniform',
    embeddings_regularizer=None,
    trainable=True
)

        __
        __