OpenAI-Clip
Multi‑modal foundational model for vision and language tasks like image/text similarity and for zero‑shot image classification.
Contrastive Language‑Image Pre‑Training (CLIP) uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features can then be used for a variety of zero‑shot learning tasks.
Not supported
This model is currently not supported on any Compute chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Image input resolution:224x224
Model checkpoint:ViT-B/16
Model size (float):571 MB
Number of parameters:150M
Text context length:77
Applicable Scenarios
- Image Search
- Content Moderation
- Caption Creation
License
Model:MIT
Tags
- foundation
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
Looking for more? See models created by industry leaders.
Discover Model Makers








