Model card
The 'st polish paraphrase from mpnet' is a specialized text-to-text model designed to refine and rewrite Polish text while maintaining original semantic meaning. Built upon the MPNet architecture, it leverages sentence-transformer embeddings to ensure high-quality paraphrasing that avoids the common pitfalls of generic translation models. For developers, this is an ideal utility for augmenting NLP datasets, removing redundancy in user-generated content, or implementing 'rewrite' features in localization pipelines. It integrates easily into existing Python-based LLM workflows, offering a lightweight alternative to massive generative models when the goal is precise stylistic polishing rather than creative generation.
Model files and versions
Download this model
We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
sdadas/st-polish-paraphrase-from-mpnetInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model sdadas/st-polish-paraphrase-from-mpnetREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model sdadas/st-polish-paraphrase-from-mpnet README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('sdadas/st-polish-paraphrase-from-mpnet')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/sdadas/st-polish-paraphrase-from-mpnet.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/sdadas/st-polish-paraphrase-from-mpnet.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
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