Fix style

src/transformers/configuration_openai.py

@@ -21,9 +21,7 @@ from .utils import logging
 
 logger = logging.get_logger(__name__)
 
-OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP = {
-    "openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/config.json"
-}
+OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP = {"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/config.json"}
 
 
 class OpenAIGPTConfig(PretrainedConfig):

src/transformers/tokenization_bert_generation.py

@@ -29,9 +29,7 @@ logger = logging.get_logger(__name__)
 
 VOCAB_FILES_NAMES = {"vocab_file": "spiece.model"}
 
-tokenizer_url = (
-    "https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model"
-)
+tokenizer_url = "https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model"
 
 
 class BertGenerationTokenizer(PreTrainedTokenizer):

src/transformers/tokenization_mobilebert.py

@@ -22,9 +22,7 @@ logger = logging.get_logger(__name__)
 VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt"}
 
 PRETRAINED_VOCAB_FILES_MAP = {
-    "vocab_file": {
-        "mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"
-    }
+    "vocab_file": {"mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"}
 }
 
 PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {"mobilebert-uncased": 512}

src/transformers/tokenization_mobilebert_fast.py

@@ -23,9 +23,7 @@ logger = logging.get_logger(__name__)
 VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
 
 PRETRAINED_VOCAB_FILES_MAP = {
-    "vocab_file": {
-        "mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"
-    },
+    "vocab_file": {"mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"},
     "tokenizer_file": {
         "mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json"
     },