An alternative approach to using PyTorch save and load techniques is to use the HF model.save_pretrained() and model.from_pretrained() methods. Wrapping Up The demo program presented in this article ...

The tokenized reviews are loaded into a PyTorch Dataset object so that they can be fed to the trained model. The demo processes the first five test reviews, one at a time. Test review [2] is ...

Customizing means modifying the architecture or the components of a model to suit your specific needs. You can use the pytorch nn module, which provides a variety of layers and functions for ...

To build a language model, one needs to know how to process sequences, define a model architecture, and be able to train the model well. We have covered the very basics by implementing a simple ...

This repository contains an implementation of Log-Additive Convolutional Neural Networks in Pytorch, following the model architecture described in "A log-additive neural model for spatio-temporal ...