load_trained_model_from_checkpoint(config_path,checkpoint_file=checkpoint_path)

[dshwei]

pandas==1.1.5
Keras==2.3.1
keras_bert==0.83.0
numpy==1.16.4
scikit_learn==0.24.0
scipy==1.4.1
tensorboard=2.3.0
tensorflow-estimator==2.3.0
tensorflow==2.2

config_path = './chinese_L-12_H-768_A-12/bert_config.json'
checkpoint_path = './chinese_L-12_H-768_A-12/bert_model.ckpt'
dict_path = './chinese_L-12_H-768_A-12/vocab.txt'
model = load_trained_model_from_checkpoint(config_path,checkpoint_file=checkpoint_path)

: 8.9)
Traceback (most recent call last):
File "model_train.py", line 156, in
model = create_cls_model(len(labels))
File "model_train.py", line 89, in create_cls_model
bert_model = load_trained_model_from_checkpoint(config_path, checkpoint_path, seq_len=None)
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/keras_bert/loader.py", line 163, in load_trained_model_from_checkpoint
model, config = build_model_from_config(
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/keras_bert/loader.py", line 46, in build_model_from_config
model = get_model(
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/keras_bert/bert.py", line 79, in get_model
embed_layer, embed_weights = get_embedding(
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/keras_bert/layers/embedding.py", line 50, in get_embedding
embed_layer = PositionEmbedding(
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py", line 953, in call
inputs, outputs = self.set_connectivity_metadata(
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py", line 2313, in set_connectivity_metadata
self._add_inbound_node(
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py", line 2329, in _add_inbound_node
inbound_layers = nest.map_structure(lambda t: t._keras_history.layer,
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/tensorflow/python/util/nest.py", line 617, in map_structure
structure[0], [func(*x) for x in entries],
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/tensorflow/python/util/nest.py", line 617, in
structure[0], [func(*x) for x in entries],
File "/home/miniconda3/envs/tf2.2/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py", line 2329, in
inbound_layers = nest.map_structure(lambda t: t._keras_history.layer,
AttributeError: 'tuple' object has no attribute 'layer'