... activation='softmax')(x) model = Model(inputs=mobile.input, outputs=predictions). I get the error: 'Tensor' object has no attribute 'lower'. Also using:
16.03.2020 · pred = model.predict_classes([prepare(file_path)]) AttributeError: 'Functional' object has no attribute 'predict_classes' 1 AttributeError: 'KerasTensor' object has no attribute 'size with hugging-face bert.AutoModel model with tensorflow
19.11.2021 · UPDATE: Note that eager execution is enabled by default in TensorFlow 2.0. So the answer above applies only to TensorFlow 1.x. Solution 2. This can also happen in TF2.0 if your code is wrapped in a @tf.function or inside a Keras layer.
08.12.2020 · Convert .keras model to ONNX. aeabd7d. Had to use a specific version of keras, as documented in requirements2.txt Refs onnx/keras-onnx#662. yan12125 mentioned this issue on Jul 1. AttributeError: 'KerasTensor' object has no attribute 'graph' #651. Open. ankandrew mentioned this issue on Jul 10.
02.06.2020 · You have forgotten to fit the model first. You did not share the whole code, but I believe you have some X_train and Y_train somewhere in your code.
“AttributeError: module 'tensorflow' has no attribute 'layers'” Code Answer's ... In fact, the compatibility built in 2.0 to get tf 1.: tf.compat.v1 is really ...
13.04.2021 · The models from huggingfaces can be used out of the box using the transformers library. They can be used with different backends (tensorflow, pytorch). Using huggingface's transformers with keras is shown here (in the "create_model" function).. Generally speaking you can load a huggingface's transformer using the example code in the model card (the "use in …