https://github.com/tharindudr/sts-transformers

Transformer based Semantic Textual Similarity
https://github.com/tharindudr/sts-transformers

natural-language-processing nlp pytorch transformers

Last synced: about 1 month ago
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Transformer based Semantic Textual Similarity

• Host: GitHub
• URL: https://github.com/tharindudr/sts-transformers
• Owner: TharinduDR
• License: apache-2.0
• Created: 2020-04-03T10:01:07.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-11-22T17:12:55.000Z (over 3 years ago)
• Last Synced: 2025-04-14T11:01:57.666Z (about 1 month ago)
• Topics: natural-language-processing, nlp, pytorch, transformers
• Language: Python
• Homepage:
• Size: 732 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[![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.