import torch
from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM

# OPTIONAL: if you want to have more information on what's happening, activate the logger as follows
import logging
#logging.basicConfig(level=logging.INFO)


# Load pre-trained model tokenizer (vocabulary)
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')


754c9e8356fd62b31b25f76bf6c3b233af6b2090
<mask token>

<mask token>
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')

import torch
from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM
import logging
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')

import torch
from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM

# OPTIONAL: if you want to have more information on what's happening, activate the logger as follows
import logging
#logging.basicConfig(level=logging.INFO)


# Load pre-trained model tokenizer (vocabulary)
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')

