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Flan T5 3b Summarizer

Developed by jordiclive
A general-purpose summarizer based on the 3B-parameter google/flan-t5-xl model fine-tuned on multiple summarization datasets, suitable for academic and general scenarios.
Downloads 231
Release Time : 1/6/2023

Model Overview

This is a multi-purpose summarization model that can control the type of generated summaries by adding different instructions before the source document. Supports various summarization tasks including news articles, scientific papers, conversations, etc.

Model Features

Multi-task summarization
By adding different prompts before the source document, it can generate various types of summaries such as news summaries, scientific paper TL;DRs, conversation summaries, etc.
Multi-dataset fine-tuning
Fine-tuned on multiple summarization datasets including xsum, wikihow, and cnn_dailymail, improving the model's generalization capability.
Instruction control
Different instruction prompts can control the style and type of generated summaries, enhancing the model's flexibility.

Model Capabilities

Text summarization
Instruction-controlled output
Multi-type summarization

Use Cases

News media
News article summarization
Generate concise summaries for news articles
Produces news-style summaries
Academic research
Scientific paper summarization
Generate TL;DR-style summaries for scientific articles
Produces concise technical summaries
Legal documents
Bill summarization
Summarize legislative proposal contents
Generates concise summaries of legal documents
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