# News summarization generation

DistilBART-CNN-12-6 is a lightweight summarization generation model based on the BART architecture, specifically optimized for the CNN/Daily Mail dataset.

A news summarization generation model fine-tuned based on google-t5/t5-small, supporting concise summarization of news texts.

A Portuguese summarization generation model fine-tuned based on google/flan-t5-small, suitable for Portuguese text summarization tasks, with a small model size but good performance.

A text summarization model fine-tuned on Norwegian news summarization datasets using RLHF strategy based on NorGPT-3B model

This model is a fine-tuned Pegasus architecture for Hungarian text summarization, optimized specifically for Hungarian summarization tasks

This model is a Hungarian summarization generation model fine-tuned on mBART-large-50, specifically designed for generating abstractive summaries of Hungarian texts.

An Italian abstractive summarization model fine-tuned on the Fanpage dataset based on mBART-large

Text summarization model fine-tuned on the cnn_dailymail dataset, trained using the DistilBERT architecture

A Russian abstractive summarization model based on rut5-base, optimized for Russian news summarization tasks