Loading Custom SentenceTransformer Models from local not working

Question

I am using the SentenceTransformers library (here: https://pypi.org/project/sentence-transformers/#pretrained-models). I have chosen BERT Model[https://huggingface.co/bert-base-uncased] for implementing the text classification model and after implementation, saved model for the trained data locally.

        But when I tried to load model from my local using --> 

        "" sample = SentenceTransformer('Downloads/bert_base_uncased') ""
 
           am getting following  __version__ error

   File C:\ProgramData\Anaconda3\lib\site- 
   packages\sentence_transformers\SentenceTransformer.py:112, in 
   SentenceTransformer.__init__(self, model_name_or_path, modules, device)
   110     with open(os.path.join(model_path, 'config.json')) as fIn:
   111         config = json.load(fIn)
   --> 112         if config['__version__'] > __version__:
   113             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__))
   115 with open(os.path.join(model_path, 'modules.json')) as fIn:

   KeyError: '__version__'

Earlier am using sentence_transformers==1.1.1 but even i tried to upgraded verison to sentence_transformers==2.1.0

 still am facing KeyError: '__version__' for sentence_transformers