Metadata-Version: 2.1
Name: ststransformers
Version: 0.0.3
Summary: An easy-to-use wrapper library for the Transformers library for Semantic Textual Similrity Tasks.
Home-page: https://github.com/TharinduDR/STS-Transformers
Author: Tharindu Ranasinghe
Author-email: rhtdranasinghe@gmail.com
License: UNKNOWN
Description: # STSTransformers : Transformer based Semantic Textual Similrity. 
        
        STSTransformers provides state-of-the-art models for Semantic Textual Similarity.
        
        ## Installation
        you first need to install PyTorch.
        Please refer to [PyTorch installation page](https://pytorch.org/get-started/locally/#start-locally) regarding the specific install command for your platform.
        
        When PyTorch has been installed, you can install from source by cloning the repository and running:
        
        ```bash
        git clone https://github.com/TharinduDR/STS-Transformers.git
        cd TransQuest
        pip install -r requirements.txt
        ``` 
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown
