The models generated by WhiteLightning have the following technical features: 1) lightweight, usually less than 1MB; 2) adopting ONNX format to support cross-platform deployment; 3) using faculty-student distillation technique for training to ensure model accuracy; 4) supporting multi-class classification tasks; 5) running completely offline without relying on the cloud service; and 6) compatible with a variety of programming languages and runtime environments. These features make it particularly suitable for deployment and operation on resource-constrained edge devices.
This answer comes from the articleWhiteLightning: an open source tool for generating lightweight offline text classification models in one clickThe