Beitbase
B
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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