# Long Text Compression

A text summarization model fine-tuned based on Qwen2.5-3B, specialized in extracting key points from blog articles

This model is a text summarization generation model fine-tuned on the Bodo legal summarization dataset based on facebook/bart-large

BART Large CNN is a pre-trained model based on the BART architecture, specifically designed for text summarization tasks.

This is an ONNX-optimized version of the facebook/bart-large-cnn model, primarily used for text summarization tasks.

This model is a fine-tuned text summarization model based on facebook/bart-large-cnn, excelling in generating summaries for legal texts.

A Russian text summarization model fine-tuned from ai-forever/ruT5-base, trained on approximately 60,000 samples, suitable for summarization tasks such as news articles.

A Russian text summarization model fine-tuned based on google/mt5-base, trained on approximately 50,000 samples, specializing in generating high-quality Russian summaries.

A text summarization model fine-tuned based on facebook/bart-base, excelling in generating concise and coherent summaries from lengthy texts.

A T5-based fine-tuned Portuguese legal text summarization model, specifically designed for automatic summarization of judicial cases

A Korean text summarization model fine-tuned based on paust/pko-t5-large, capable of generating concise summaries from long Korean texts

A Korean text summarization model based on the T5 architecture, capable of generating concise summaries for long Korean texts

This is a text summarization model trained via AutoTrain, capable of automatically generating summaries from input text.

This is a fine-tuned summarization model based on T5-large, trained on XSUM and CNN Daily Mail datasets, excelling at generating concise and accurate summaries.

Randeng-Pegasus-238M-Summary-Chinese is a Chinese abstract generation model based on the PEGASUS architecture, developed by IDEA-CCNL, specifically designed for generating summaries of Chinese texts.

A text summarization model based on the BART architecture, fine-tuned on an unknown dataset, excels at generating resume summaries

A text summarization model fine-tuned based on the PEGASUS architecture, excelling in generating concise and accurate summaries

A Dutch news summarization model based on the T5 architecture, fine-tuned for the Dutch version of CNN Daily Mail

This model is a bart-base model fine-tuned on the CNN/DailyMail summarization dataset, excelling in text summarization tasks

A model for generating summaries based on book content, suitable for long-text summarization tasks

A summary generation model based on the BookSum dataset, excelling at producing concise and accurate summaries from book content.

A Korean news summarization model fine-tuned based on the KoBART framework, suitable for extracting key information from long news articles to generate concise summaries.

A text summarization model fine-tuned on the CNN/DailyMail dataset based on BERT or RoBERTa architecture

A sequence-to-sequence model based on the BART architecture, fine-tuned on the CNN/DailyMail dataset, suitable for text summarization tasks.