Using ONNX BERT Model for Text-based Q&A in your Mobile .NET Apps
🕓 5 MIN In the first article of this series, I explained how to load, evaluate and convert a PyTorch-trained BERT QnA model to an ONNX-compatible format. In
🕓 5 MIN In the first article of this series, I explained how to load, evaluate and convert a PyTorch-trained BERT QnA model to an ONNX-compatible format. In
🕓 5 MIN This article will explore loading a pre-trained ONNX model, trained on the popular MNIST dataset, into an application built with the Uno Platform. By loading
🕓 6 MIN The previous article introduced the ONNX, an open standard for exchanging and sharing deep learning models which can allow developers to facilitate on-device inference. The
🕓 8 MIN One of the most recent and exciting areas in mobile application development is the integration of machine learning models to add intelligent capabilities. With the
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