V-JEPA-2
Self‑supervised video representation backbone.
V‑JEPA 2 (Video Joint‑Embedding Predictive Architecture 2) is a self‑supervised video encoder from Meta AI that uses a ViT (Vision Transformer) backbone to produce per‑token video embeddings. It is used as a frozen backbone for downstream video understanding tasks such as action recognition and video retrieval.
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This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Input resolution:256x256
Model checkpoint:facebook/vjepa2-vitl-fpc64-256
Model size (float):1.13 GB
Model size (w8a16):304 MB
Number of frames:8
Number of parameters:304M
Applicable Scenarios
- Camera
- Action Recognition
- Video Understanding
License
Model:MIT
Tags
- backbone
Supported IoT Devices
- Arduino VENTUNO Q
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS5121
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ IQ-8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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