The open-source donut-base-sroie-fine-tuned model - A powerful assistant for efficiently solving document understanding tasks

Donut Base Sroie Fine Tuned

Developed by adrianccy

A fine-tuned version based on the naver-clova-ix/donut-base model on an image folder dataset, suitable for document understanding tasks.

Text Recognition

Transformers

Open Source License:MIT #Document Image Understanding #Receipt Information Extraction #Few-shot Fine-tuning

Downloads 21

Release Time : 11/22/2022

Model Overview

This model is a fine-tuned version of the Donut architecture, specifically designed for document image understanding tasks, which may include text detection, recognition, or information extraction.

Model Features

Document Image Understanding

Optimized understanding capabilities specifically for document images.

Fine-tuned Version

Fine-tuned on specific datasets, potentially offering better performance for particular tasks.

Transformer Architecture

Based on the powerful Transformer architecture, with excellent feature extraction capabilities.

Model Capabilities

Document Image Processing

Text Information Extraction

Vision-Language Joint Understanding

Use Cases

Document Processing

Receipt Information Extraction

Extract key information such as amounts and dates from receipt images.

Table Recognition

Identify table structures in documents and extract their contents.

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Donut Base Sroie Fine Tuned

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 donut-base-sroie-fine-tuned

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