bart-finetuned-with-patent Open-source Model - Free Assistance for Patent Abstract Research and Reference!

Bart Finetuned With Patent

Developed by Pyke

This model is a fine-tuned BART-base architecture for patent abstract processing, trained on 7 million patent abstract records, primarily for research reference in patent abstracts.

Large Language Model

Transformers

#Patent Abstract Generation #BART Fine-tuning #Research Reference

Downloads 17

Release Time : 3/2/2022

Model Overview

Fine-tuned based on the facebook/bart-base model, with both input and output being patent abstract content, aimed at providing reference for the patent research field.

Model Features

Patent Domain Adaptation

Specifically optimized for patent abstract data, better understanding patent text features

Large-scale Training Data

Fine-tuned using 7 million patent abstract records

BART Architecture Advantages

Inherits the sequence-to-sequence learning capabilities of the BART model, suitable for text generation tasks

Model Capabilities

Patent Abstract Generation

Patent Text Reconstruction

Patent Content Understanding

Use Cases

Patent Research

Automatic Patent Abstract Generation

Automatically generates standardized abstracts based on patent content

Patent Information Extraction

Extracts key information from patent texts

Intellectual Property Services

Patent Search Assistance

Enhances the semantic understanding capability of patent search systems

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Bart Finetuned With Patent

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Patent Abstract Fine - tuned BART Model

🚀 Quick Start