Sort imports with isort.

This is the result of:

    $ isort --recursive examples templates transformers utils hubconf.py setup.py

examples/contrib/run_camembert.py

@@ -1,11 +1,11 @@
-from pathlib import Path
 import tarfile
 import urllib.request
+from pathlib import Path
 
 import torch
 
-from transformers.tokenization_camembert import CamembertTokenizer
 from transformers.modeling_camembert import CamembertForMaskedLM
+from transformers.tokenization_camembert import CamembertTokenizer
 
 
 def fill_mask(masked_input, model, tokenizer, topk=5):

examples/contrib/run_openai_gpt.py

@@ -28,26 +28,27 @@
           --train_batch_size 16 \
 """
 import argparse
-import os
 import csv
-import random
 import logging
-from tqdm import tqdm, trange
+import os
+import random
 
 import numpy as np
 import torch
 from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
+from tqdm import tqdm, trange
 
 from transformers import (
+    CONFIG_NAME,
+    WEIGHTS_NAME,
+    AdamW,
     OpenAIGPTDoubleHeadsModel,
     OpenAIGPTTokenizer,
-    AdamW,
     cached_path,
-    WEIGHTS_NAME,
-    CONFIG_NAME,
     get_linear_schedule_with_warmup,
 )
 
+
 ROCSTORIES_URL = "https://s3.amazonaws.com/datasets.huggingface.co/ROCStories.tar.gz"
 
 logging.basicConfig(

examples/contrib/run_swag.py

@@ -19,28 +19,34 @@
 from __future__ import absolute_import, division, print_function
 
 import argparse
-import logging
 import csv
+import glob
+import logging
 import os
 import random
 import sys
-import glob
 
 import numpy as np
 import torch
 from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
 from torch.utils.data.distributed import DistributedSampler
+from tqdm import tqdm, trange
+
+from transformers import (
+    WEIGHTS_NAME,
+    AdamW,
+    BertConfig,
+    BertForMultipleChoice,
+    BertTokenizer,
+    get_linear_schedule_with_warmup,
+)
+
 
 try:
     from torch.utils.tensorboard import SummaryWriter
 except:
     from tensorboardX import SummaryWriter
 
-from tqdm import tqdm, trange
-
-from transformers import WEIGHTS_NAME, BertConfig, BertForMultipleChoice, BertTokenizer
-
-from transformers import AdamW, get_linear_schedule_with_warmup
 
 logger = logging.getLogger(__name__)
 

examples/contrib/run_transfo_xl.py

@@ -23,12 +23,13 @@ from __future__ import absolute_import, division, print_function, unicode_litera
 
 import argparse
 import logging
-import time
 import math
+import time
 
 import torch
 
-from transformers import TransfoXLLMHeadModel, TransfoXLCorpus, TransfoXLTokenizer
+from transformers import TransfoXLCorpus, TransfoXLLMHeadModel, TransfoXLTokenizer
+
 
 logging.basicConfig(
     format="%(asctime)s - %(levelname)s - %(name)s -   %(message)s", datefmt="%m/%d/%Y %H:%M:%S", level=logging.INFO