Metadata-Version: 2.1
Name: ststransformers
Version: 0.0.5
Summary: An easy-to-use wrapper library for using Transformers in Semantic Textual Similarity Tasks.
Home-page: https://github.com/TharinduDR/STS-Transformers
Author: Tharindu Ranasinghe
Author-email: rhtdranasinghe@gmail.com
License: UNKNOWN
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
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: requests
Requires-Dist: tqdm (>=4.47.0)
Requires-Dist: regex
Requires-Dist: transformers (>=4.6.0)
Requires-Dist: datasets
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: seqeval
Requires-Dist: tensorboard
Requires-Dist: tensorboardX
Requires-Dist: pandas
Requires-Dist: tokenizers
Requires-Dist: wandb (>=0.10.32)
Requires-Dist: sentencepiece

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![Downloads](https://static.pepy.tech/badge/ststransformers)](https://pepy.tech/project/ststransformerst)

# STSTransformers : Transformer based Semantic Textual Similarity. 

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 STS-Transformers
pip install -r requirements.txt
``` 

You can find the implementations in the examples folder. 



