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 Automotive chipset.
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View for other chipsetsTechnical Details
Model checkpoint:ViT-B/16
Image input resolution:224x224
Text context length:77
Number of parameters:150M
Model size (float):571 MB
Applicable Scenarios
- Image Search
- Content Moderation
- Caption Creation
License
Model:MIT
Tags
- foundation
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8295P
- Qualcomm® SA8775P
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