Install nexaSDK and create a free account at sdk.nexa.ai
Activate your device with your access token:
nexa config set license '<access_token>'
Run the model locally in one line:
nexa infer NexaAI/convnext-tiny-npu
Model Description
ConvNeXt-Tiny is a lightweight convolutional neural network (CNN) developed by Meta AI, designed to modernize traditional ConvNet architectures with design principles inspired by Vision Transformers (ViTs).
With around 28 million parameters, it achieves competitive ImageNet performance while remaining efficient for on-device and edge inference.
ConvNeXt-Tiny brings transformer-like accuracy to a purely convolutional design — combining modern architectural updates with the efficiency of classical CNNs.
Features
High-accuracy Image Classification: Pretrained on ImageNet-1K with strong top-1 accuracy.
Flexible Backbone: Commonly used as a feature extractor for detection, segmentation, and multimodal systems.
Optimized for Efficiency: Compact model size enables fast inference and low latency on CPUs, GPUs, and NPUs.
Modernized CNN Design: Adopts ViT-inspired improvements such as layer normalization, larger kernels, and inverted bottlenecks.
Scalable Family: Part of the ConvNeXt suite (Tiny, Small, Base, Large, XLarge) for different compute and accuracy trade-offs.
Use Cases
Real-time image recognition on edge or mobile devices
Vision backbone for multimodal and perception models
Visual search, tagging, and recommendation systems
Transfer learning and fine-tuning for domain-specific tasks
Efficient deployment in production or research environments
Inputs and Outputs
Input:
RGB image tensor (usually 3 × 224 × 224)
Normalized using ImageNet mean and standard deviation
Output:
1000-dimensional logits for ImageNet class probabilities
Optional intermediate feature maps when used as a backbone
License
All NPU-related components of this project — including code, models, runtimes, and configuration files under the src/npu/ and models/npu/ directories — are licensed under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.
Commercial licensing or usage rights must be obtained through a separate agreement. For inquiries regarding commercial use, please contact dev@nexa.ai
