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Beitbase

Developed by ivensamdh
BEiT base model fine-tuned on an unknown dataset, specific use cases and performance details are currently unavailable
Downloads 15
Release Time : 1/29/2023

Model Overview

This model is a vision Transformer based on the BEiT architecture, potentially used for image classification or other vision tasks, but its specific purpose is not clearly stated

Model Features

Based on BEiT Architecture
Adopts the BEiT (BERT pre-trained image Transformer) architecture, suitable for vision tasks
Mixed Precision Training
Utilizes Native AMP mixed precision training technology to improve training efficiency

Model Capabilities

Image Feature Extraction
Visual Representation Learning

Use Cases

Computer Vision
Image Classification
Potentially applicable to image classification tasks
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