Finding Text Similarity using Huggingface Transformers and PyTorch

This tutorial explains how to use the Hugging Face Transformers library and PyTorch to find the similarity between two texts. This is interesting as well as necessary for many computational tasks involving text such as information retrieval systems and question answering systems.

Building Powerful Distributed Applications with Celery in Python.

Celery Advanced Tutorial with Task Binding, AsyncResult Handling, Status Updates, and Concurrency Control

Fill in the Blank with BERT - NLP Masked Language Modeling with Transformers and PyTorch

One of the most common applications of Hugging Face Transformers and BERT is the fill-in-the-blank task, where you need to predict a missing word or phrase in a sentence. This task is also known as masked language modeling, and it is one of the pre-training objectives used in BERT.

Deep Neural Machines

Intelligence, Created.