ValueError: Exception encountered when calling layer "USE" (type KerasLayer).

[satya19977]

I don't understand what is wrong in this code but it always throws up the error as stated below
WARNING:tensorflow:Model was constructed with shape (None,) for input KerasTensor(type_spec=TensorSpec(shape=(None,), dtype=tf.string, name='input_26'), name='input_26', description="created by layer 'input_26'"), but it was called on an input with incompatible shape (None, None).

inputs = layers.Input(shape=[], dtype=tf.string)
pretrained_embedding = tf_hub_embedding_layer(inputs) # tokenize text and create embedding
x = layers.Dense(128, activation="relu")(pretrained_embedding) # add a fully connected layer on top of the embedding

Note: you could add more layers here if you wanted to

outputs = layers.Dense(5, activation="softmax")(x) # create the output layer
model_2 = tf.keras.Model(inputs=inputs,
outputs=outputs)

Compile the model

model_2.compile(loss="categorical_crossentropy",
optimizer=tf.keras.optimizers.Adam(),
metrics=["accuracy"])

Fit feature extractor model for 3 epochs

model_2.fit(train_dataset,
steps_per_epoch=int(0.1 * len(train_dataset)),
epochs=3,
validation_data=valid_dataset,
validation_steps=int(0.1 * len(valid_dataset)))

[thomasmartin1783]

The input it is supposed to take is (None, ) shape -> which is variable length text.

But your passed input is of shape (None, None).
So my guess it's an empty string .
but it was called on an input with incompatible shape (None, None).