There are multiple helpful references (https://colab.research.google.com/drive/1WIk2bxglElfZewOHboPFNj8H44_VAyKE?usp=sharing#scrollTo=6r2-M5hYt-Vw 7 ) for creating instances of  BERT2BERT and BERT2Share models. I was wondering how to create a BERT2Rand Encoder-Decoder model where the encoder parameters will be loaded from pre-trained checkpoint and decoder parameters should be randomly initialized?
By reading document and codes, I tried this
EncoderDecoderModel.from_encoder_decoder_pretrained(bert-base-multilingual-cased, None)
which gave fallowing error:
Huggingface AssertionError: If *decoder_model* is not defined as an argument, a *decoder pretrained model_name_or_path* has to be define
I am not sure how to fix this. Please let me in this. Thank you!