Rut5 Base Absum
This is a Russian abstractive summarization model based on the T5 architecture and fine-tuned on multiple datasets, capable of generating concise and accurate text summaries.
Downloads 1,135
Release Time : 3/2/2022
Model Overview
This model is specifically designed for abstractive summarization of Russian texts, based on the cointegrated/rut5-base-multitask model and fine-tuned on 4 datasets.
Model Features
Multi-dataset fine-tuning
Fine-tuned on four datasets: IlyaGusev/gazeta, csebuetnlp/xlsum, mlsum, and wiki_lingua, improving summary quality.
Flexible summary length control
Supports controlling the length of generated summaries by specifying word count or compression ratio.
Abstractive summarization
Capable of generating abstractive summaries rather than just extractive ones, resulting in more natural and fluent outputs.
Model Capabilities
Russian text summarization
Summary length control
Abstractive summarization
Use Cases
News summarization
News article summarization
Generate concise summaries for long news articles
Produces brief summaries that accurately reflect the key points of the original text
Document processing
Technical document summarization
Generate overviews for technical documents
Extracts key information from documents to form brief overviews
Featured Recommended AI Models