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 regarding the specific install command for your platform.
When PyTorch has been installed, you can install from source by cloning the repository and running:
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.
1 maintainer
Metadata
1 maintainer
Release files for ststransformers 0.0.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| ststransformers-0.0.5.tar.gz | 42.8 kB | Without provenance | Details for ststransformers-0.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ststransformers-0.0.5-py3-none-any.whl | Python 3 | none | any | Details for ststransformers-0.0.5-py3-none-any.whl |
Total release size: 106.4 kB
Release files / ststransformers-0.0.5.tar.gz
| Download URL | ststransformers-0.0.5.tar.gz |
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| Size | 42.8 kB |
| Tags | Source |
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Release files / ststransformers-0.0.5-py3-none-any.whl
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| Tags | Python 3 |
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