# News Summarization Generation

mBART-large-50 is a multilingual sequence-to-sequence model supporting text summarization and generation tasks in 50 languages.

DistilBART-CNN-12-6 is a distilled version of the BART model, specifically designed for text summarization tasks, featuring a smaller model size and higher inference efficiency.

A text summarization model based on the T5-small architecture, fine-tuned on the multi_news dataset, excelling in generating abstractive summaries

A text summarization generation model fine-tuned based on Falconsai/text_summarization, supporting the extraction of key information from long texts to generate concise summaries.

A Brazilian Portuguese abstract summarization generation model fine-tuned based on PTT5, supporting concise summary generation from texts such as news articles.

Text summarization generation model fine-tuned based on GPT-2

Text summarization generation model fine-tuned based on GPT-2

A Brazilian Portuguese text abstract summarization model fine-tuned based on PTT5

A model fine-tuned based on PTT5 for generating abstractive summaries of Brazilian Portuguese texts.

A Chinese version of the PAGASUS-large model specialized in text summarization tasks, trained on the PEGASUS architecture with optimizations for Chinese tokenization.

IndicBART-XLSum is a sequence-to-sequence pre-trained model based on the multilingual independent script IndicBART, focusing on Indian languages.

A bilingual summarization model based on multilingual T5, supporting English and German text summarization tasks

DistilBART is a distilled version of the BART model, specifically optimized for text summarization tasks, significantly improving inference speed while maintaining high performance.

An English summarization generation model fine-tuned based on google/mt5-base, excelling at extracting key information from text to generate concise summaries.

A bilingual summarization model based on the multilingual T5 model, supporting German and English text summarization tasks

This is a pruned and optimized BART-base model, specifically fine-tuned on the CNN/DailyMail dataset for summarization tasks.

A French text summarization model based on T5 Transformer, fine-tuned specifically for French generative text summarization tasks.