I'm tying to load bert model and text_input is printing<KerasTensor shape=(None,), dtype=string, sparse=None, name=keras_tensor_54>and preprocessor is also loading but still getting this error.ValueError: A KerasTensor is symbolic: it's a placeholder for a shape an a dtype. It doesn't have any actual numerical value. You cannot convert it to a NumPy array.
Code
text_input = tf.keras.layers.Input(shape=(), dtype=tf.string)print(text_input)# Load the BERT preprocessing model from TensorFlow Hubpreprocessor_url = "https://kaggle.com/models/tensorflow/bert/TensorFlow2/en-uncased-preprocess/3"try: preprocessor = hub.KerasLayer(preprocessor_url)except Exception as e: print("Error loading the BERT preprocessing model:", e)# Check if the preprocessor is Noneif preprocessor is None: print("Preprocessor is None. There was an error loading the model.")else: # Preprocess the text inputs using the BERT preprocessing layer preprocessed_inputs = preprocessor(text_input)Stack trace
Traceback (most recent call last): File "/home/ayazbism/PycharmProjects/hate-speech-detection/hate_speech_detection.py", line 394, in <module> preprocessed_inputs = preprocessor(text_input) File "/home/ayazbism/.local/lib/python3.10/site-packages/tf_keras/src/engine/base_layer_v1.py", line 899, in __call__ outputs = self.call(cast_inputs, *args, **kwargs) File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow_hub/keras_layer.py", line 250, in call result = smart_cond.smart_cond(training, File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow/python/framework/smart_cond.py", line 55, in smart_cond return false_fn() File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow_hub/keras_layer.py", line 252, in <lambda> lambda: f(training=False)) File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow/python/saved_model/load.py", line 817, in _call_attribute return instance.__call__(*args, **kwargs) File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow/core/function/polymorphism/function_type.py", line 583, in canonicalize_to_monomorphic _make_validated_mono_param(name, arg, poly_parameter.kind, File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow/core/function/polymorphism/function_type.py", line 522, in _make_validated_mono_param mono_type = trace_type.from_value(value, type_context) File "/home/ayazbism/.local/lib/python3.10/site-packages/tensorflow/core/function/trace_type/trace_type_builder.py", line 185, in from_value ndarray = value.__array__() File "/home/ayazbism/.local/lib/python3.10/site-packages/keras/src/backend/common/keras_tensor.py", line 61, in __array__ raise ValueError(ValueError: A KerasTensor is symbolic: it's a placeholder for a shape an a dtype. It doesn't have any actual numerical value. You cannot convert it to a NumPy array.Please share the reason. why I'm getting this error. is it due to python version because bert code is same at all places.
