Clip Vit Base Patch 32
OpenAI's Clip Vit Base Patch 32 is a vision model that utilizes a ViT-B/32 Transformer architecture as an image encoder, trained with a contrastive loss to maximize the similarity of image-text pairs. It is genuinely best at enabling researchers to explore zero-shot, arbitrary image classification tasks.
Input
Output
Context
0K
Max Output
-
Parameters
151M
Technical Specifications
Model TypeVision
Context Window77 tokens
Max Output TokensNot available
Parameters151M
Release DateMar 2, 2022
Training CutoffJan 1, 2021
Licensemit
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Clip Vit Base Patch 32
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
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