Beit Base Patch 16 224
Microsoft's Beit Base Patch 16 224 is a Vision Transformer model pre-trained in a self-supervised fashion on ImageNet-21k and fine-tuned on ImageNet-1k, exceling at learning inner representations of images for downstream tasks such as image classification. It notably utilizes relative position embeddings and a mean-pooling approach for classification.
Input
Output
Context
-
Max Output
-
Parameters
86M
Technical Specifications
Model TypeVision
Context WindowNot available
Max Output TokensNot available
Parameters86M
Release DateMar 2, 2022
Training CutoffJun 15, 2021
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Beit Base Patch 16 224
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
Start building with the right model.
Automatically route workloads to the right model for every task, every time.