Release v4.5.0

Author: LysandreJik

examples/language-modeling/run_clm.py

@@ -48,7 +48,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/language-modeling/run_mlm.py

@@ -48,7 +48,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 MODEL_CONFIG_CLASSES = list(MODEL_FOR_MASKED_LM_MAPPING.keys())

examples/language-modeling/run_plm.py

@@ -44,7 +44,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/multiple-choice/run_swag.py

@@ -46,7 +46,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/question-answering/run_qa.py

@@ -46,7 +46,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/question-answering/run_qa_beam_search.py

@@ -45,7 +45,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/seq2seq/run_summarization.py

@@ -46,7 +46,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/seq2seq/run_translation.py

@@ -46,7 +46,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/text-classification/run_glue.py

@@ -45,7 +45,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 task_to_keys = {
     "cola": ("sentence", None),

examples/text-classification/run_xnli.py

@@ -45,7 +45,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

examples/token-classification/run_ner.py

@@ -45,7 +45,7 @@
 
 
 # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
-check_min_version("4.5.0.dev0")
+check_min_version("4.5.0")
 
 logger = logging.getLogger(__name__)
 

setup.py

@@ -305,7 +305,7 @@ def run(self):
 
 setup(
     name="transformers",
-    version="4.5.0.dev0",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
+    version="4.5.0",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Patrick von Platen, Sylvain Gugger, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors",
     author_email="[email protected]",
     description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch",

src/transformers/__init__.py

@@ -22,7 +22,7 @@
 # to defer the actual importing for when the objects are requested. This way `import transformers` provides the names
 # in the namespace without actually importing anything (and especially none of the backends).
 
-__version__ = "4.5.0.dev0"
+__version__ = "4.5.0"
 
 # Work around to update TensorFlow's absl.logging threshold which alters the
 # default Python logging output behavior when present.