TypeError: get_encoders() got an unexpected keyword argument 'use_adapter'

import os
from keras_bert import load_trained_model_from_checkpoint

layer_num = 12
checkpoint_path = 'rubert_cased_L-12_H-768_A-12_v1'

config_path = os.path.join(checkpoint_path, 'bert_config.json')
model_path = os.path.join(checkpoint_path, 'bert_model.ckpt')
model = load_trained_model_from_checkpoint(
    config_path,
    model_path,
    training=False,
    use_adapter=True,
    trainable=['Encoder-{}-MultiHeadSelfAttention-Adapter'.format(i + 1) for i in range(layer_num)] +
    ['Encoder-{}-FeedForward-Adapter'.format(i + 1) for i in range(layer_num)] +
    ['Encoder-{}-MultiHeadSelfAttention-Norm'.format(i + 1) for i in range(layer_num)] +
    ['Encoder-{}-FeedForward-Norm'.format(i + 1) for i in range(layer_num)],
)

I try to run this code from tutorial and this error arises:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-23-a18dfbad0880> in <module>
     15     ['Encoder-{}-FeedForward-Adapter'.format(i + 1) for i in range(layer_num)] +
     16     ['Encoder-{}-MultiHeadSelfAttention-Norm'.format(i + 1) for i in range(layer_num)] +
---> 17     ['Encoder-{}-FeedForward-Norm'.format(i + 1) for i in range(layer_num)],
     18 )

TypeError: load_trained_model_from_checkpoint() got an unexpected keyword argument 'use_adapter'

By the way, i tried to upgrade keras-transformers - it didnt help

[CyberZHG]

pip install --upgrade keras-bert

[apugachev]

Try pip install keras-transformer==0.33.0