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Donut Base Handwriting Recognition
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Donut Base Handwriting Recognition
Developed by Cdywalst
Handwriting recognition model fine-tuned based on naver-clova-ix/donut-base
Downloads 140
Release Time : 3/21/2024
Model Overview
This model is a handwritten text recognition model based on the Donut architecture, specifically designed for recognizing handwritten content.
Model Features
Based on Donut Architecture
Utilizes the powerful vision-language processing capabilities of the Donut model for handwriting recognition
Fine-tuned Model
Specifically optimized for handwriting recognition tasks on top of the base model
Model Capabilities
Handwritten Text Recognition
Document Image Understanding
Use Cases
Document Processing
Digitizing Handwritten Notes
Convert handwritten notes into editable text format
Historical Document Transcription
Recognize and transcribe historical handwritten documents
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