srch

31.07.2020 · This are my imports: import tensorflow as tf import keras from keras.models import Sequential, Model from keras.layers import Conv2D, Flatten, MaxPooling2D, Dense, Input, Reshape, Concatenate,

25.04.2021 · AttributeError: 'KerasTensor' object has no attribute 'size with hugging-face bert.AutoModel model with tensorflow. Ask Question Asked 8 months ago. Active 7 months ago. Viewed 494 times 1 I am ...

The problem is input_shape . It should actually contain 3 dimensions only. And internally keras will add the batch dimension making it 4. Since you probably ...

28.12.2021 · AttributeError: 'KerasTensor' object has no attribute 'size with hugging-face bert.AutoModel model with tensorflow. Hot Network Questions Earliest example of self-reproducing automata What explains Trump's gains with Latino voters in …

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.

In the example above, object b has the attribute disp, so the hasattr() function returns True. The list doesn’t have an attribute size , so it returns False. If we want an attribute to return a default value, we can use the setattr() function.

10.02.2019 · I had a similar issue when I changed my computer with a different tensorflow version. What solved it for me was using .shape instead of ._keras_shape. Depending on the version of tensorflow/keras and/or how you import them ( from keras, from tensorflow.keras or from tensorflow.python.keras) it appears that the attributes names can differ.

This is the model that I have defined: input_layer = keras.layers.Input(shape = (attention_mask.shape[1],), dtype='int64') bert ...

AttributeError: 'KerasTensor' object has no attribute 'size with hugging-face bert.AutoModel model with tensorflow. Asked 2021-10-02 ago. Active3 hr before.

Hi people., I 'm getting this error, and I don't know how to fix it. I already read some topics similar to this. But even though I made the ...

Try using. from transformers import AutoTokenizer,TFAutoModel. Instead of AutoModel, try using TFAutoModel.

your "mesh_objects" are not objects, but just a list of strings. you define this in this line: mesh_objects[o.data.name].append(o.name). and in this line: