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 IoT 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 IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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