Tensorflow model.summary() doesn't show detail of TFBertModel
I loaded a transformers bert model into tensorflow, usingmodel_version = ‘bert-base-uncased’do_lower_case = Truemodel = TFBertModel.from_pretrained(model_version, output_attentions=True)tokenizer = BertTokenizer.from_pretrained(model_version, do_lower_case=do_lower_case)which seemed to work, but the tensorflow model.summary() command doesn’t show as much detail as I would expect.Model: “tf_bert_model”Layer (type)                 Output Shape              Param #bert (TFBertMainLayer)       multiple                  109482240Total params: 109,482,240Trainable params: 109,482,240Non-trainable params: 0Has the model been loaded correctly?Do I need to define the config, even though it is loading a predefined model?Is there any way to get tensorflow to show what is in the TFBertMainLayer?(When I loaded a similar bert-base model using keras-bert, tensorflow model.summary() showed a lot more detail)this is using colab, withtensorflow v 2.3.0transformers v 3.0.2torch v 1.6.0+cu101