任何嵌入式 AI 方案都受制于算力（MAC/s）、可用内存（RAM/Flash）与功耗。工程上可用一个快速评估： 边缘高算力 Jetson Nano/Orin ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Converting a PyTorch model to ONNX is a straightforward process. Below is an example code block of how to do this: ...

There are various types of inference engines based on neural networks. These engines define their own neural network representation models. Because each inference engine uses a different neural ...

Hey @laifuchicago how about converting the model to transformers and using their onnx conversion notebook? In transformers the conversion works for xlm-roberta. If it is larger than 2GB you have to ...