make version 1.2.1 compatible with version 2 model format

Author: nreimers

sentence_transformers/SentenceTransformer.py

@@ -106,12 +106,6 @@ def __init__(self, model_name_or_path: str = None, modules: Iterable[nn.Module]
             if model_path is not None:
                 logger.info("Load SentenceTransformer from folder: {}".format(model_path))
 
-                if os.path.exists(os.path.join(model_path, 'config.json')):
-                    with open(os.path.join(model_path, 'config.json')) as fIn:
-                        config = json.load(fIn)
-                        if config['__version__'] > __version__:
-                            logger.warning("You try to use a model that was created with version {}, however, your version is {}. This might cause unexpected behavior or errors. In that case, try to update to the latest version.\n\n\n".format(config['__version__'], __version__))
-
                 with open(os.path.join(model_path, 'modules.json')) as fIn:
                     contained_modules = json.load(fIn)
 

sentence_transformers/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "1.2.0"
+__version__ = "1.2.1"
 __DOWNLOAD_SERVER__ = 'http://sbert.net/models/'
 from .datasets import SentencesDataset, ParallelSentencesDataset
 from .LoggingHandler import LoggingHandler

setup.py

@@ -7,15 +7,15 @@
 
 setup(
     name="sentence-transformers",
-    version="1.2.0",
+    version="1.2.1",
     author="Nils Reimers",
     author_email="[email protected]",
     description="Sentence Embeddings using BERT / RoBERTa / XLM-R",
     long_description=readme,
     long_description_content_type="text/markdown",
     license="Apache License 2.0",
     url="https://github.com/UKPLab/sentence-transformers",
-    download_url="https://github.com/UKPLab/sentence-transformers/archive/v1.2.0.zip",
+    download_url="https://github.com/UKPLab/sentence-transformers/archive/v1.2.1.zip",
     packages=find_packages(),
     install_requires=[
         'transformers>=3.1.0,<5.0.0',