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an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.

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I am uable to download web bert similarity model using both old as well as new version Can you please help @AndriyMulyar File "C:\Users\Asif\anaconda3\envs\semantic-text-similarity\lib\site-packages\flask\app.py", line 2091, in __call__ return self.wsgi_app(environ,...

C:\ykprj>python semSimi.py Downloading model: web-bert-similarity from https://github.com/AndriyMulyar/semantic-text-similarity/releases/download/v1.0.0/web_bert_similarity.tar.gz 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 405359924/405359924 [2:55:39

How to interpret the output? I am confused with continuous value output. > from semantic_text_similarity.models import WebBertSimilarity from semantic_text_similarity.models import ClinicalBertSimilarity web_model = WebBertSimilarity(device='cpu', batch_size=10) #defaults to GPU prediction clinical_model...

Hello, When I launch your example, the program begins by download we_bert_similarity.tar.gz, and at the end of the download I have the following error: `Failed to download model: web-bert-similarity Traceback...

I tried to run this model against a data set containing about 40k items. With current rate, it may take more than 200 days. Is there any support available for...

I have 2 sentences as below: The videocall is unavailable. The videocall is available. The predict result is 4.71. What's wrong?

Collecting semantic-text-similarity Using cached semantic_text_similarity-1.0.3-py3-none-any.whl (416 kB) Collecting pytorch-transformers==1.1.0 Using cached pytorch_transformers-1.1.0-py3-none-any.whl (158 kB) ERROR: Command errored out with exit status 1: command: 'C:\Users\vdharmalin\Anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize;...

i can not install similarity with pip3, and i don't find any code related to string_similarity_features function, does this function really matter? 3q

When I try to find the similarity between statement it shows less similarity for the same words with and without space Code: `web_model.predict([('crm plus','crmplus')])` Output : 0.8329288 But for some...