Transformers
PyTorch
Safetensors
Russian
t5
text2text-generation
russian
simplification
text-generation-inference
Instructions to use annadmitrieva/rut5-base-par-simp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use annadmitrieva/rut5-base-par-simp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("annadmitrieva/rut5-base-par-simp") model = AutoModelForSeq2SeqLM.from_pretrained("annadmitrieva/rut5-base-par-simp") - Notebooks
- Google Colab
- Kaggle
This is the David Dale's paraphraser model (https://huggingface.co/cointegrated/rut5-base-paraphraser) finetuned on the RuAdapt literature subcorpus (https://github.com/Digital-Pushkin-Lab/RuAdapt) and RuSimpleSentEval dev set (https://github.com/dialogue-evaluation/RuSimpleSentEval) for simplification. SARI score on the RuSimpleSentEval public test set: 35.623.
The example sentence is from the RuSimpleSentEval public test set.
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