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 ...

This article explains how to create a transformer architecture model for natural language processing. Specifically, the goal is to create a model that accepts a sequence of words such as "The man ran ...

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 ...

Step 1: Prepare your PyTorch model. Train or load your model. Train your model on a development machine or load a pre-trained model from PyTorch’s model zoo: import torch import torchvision.models as ...

The project is divided into three main scripts: dataset_download_preprocessing.py - Handles the downloading of the bird species dataset from Kaggle and performs initial data preprocessing steps.. plot ...

This project implements a Variational Autoencoder (VAE) with U-Net connections using PyTorch, trained on the FaceMask dataset. The goal is to enhance the VAE's performance by integrating U-Net ...