Using ONNX BERT Model for Text-based Q&A in your Mobile .NET Apps
🕓 5 MINIn 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 MINIn 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 MINThis 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 MINThe 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 MINOne of the most recent and exciting areas in mobile application development is the integration of machine learning models to add intelligent capabilities. With the
Uno Platform
360 rue Saint-Jacques, suite G101,
Montréal, Québec, Canada
H2Y 1P5
USA/CANADA toll free: +1-877-237-0471
International: +1-514-312-6958
Uno Platform 5.2 LIVE Webinar – Today at 3 PM EST – Watch