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(LSP)  $ python3 INSET_test.py
decode type:  beam
Model name 'bert-base-uncased' was not found in model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, bert-base-multilingual-cased, bert-base-chinese). We assumed 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt' was a path or url but couldn't find any file associated to this path or url.
Model name 'bert-base-uncased' was not found in model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, bert-base-multilingual-cased, bert-base-chinese). We assumed 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased.tar.gz' was a path or url but couldn't find any file associated to this path or url.
Traceback (most recent call last):
  File "INSET_test.py", line 54, in <module>
    model_bert = BertModel.from_pretrained('bert-base-uncased', state_dict=torch.load('models/BERT-pretrain-1-step-5000.pkl')).cuda()
AttributeError: 'NoneType' object has no attribute 'cuda'

(LSP)  $ ipython
Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.8.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: import torch

In [2]: from pytorch_pretrained_bert import *
Better speed can be achieved with apex installed from https://www.github.com/nvidia/apex.

In [3]: model = BertModel.from_pretrained('bert-base-uncased')
Model name 'bert-base-uncased' was not found in model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, bert-base-multilingual-cased, bert-base-chinese). We assumed 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased.tar.gz' was a path or url but couldn't find any file associated to this path or url.