Keywords to Text With GPT-Neo
Learn how to produce original text from a set of keywords with GPT-Neo by using prompt engineering
Three Text Classification Techniques That Require Little to no Data
No data? No problem. Learn about three must know text classification techniques for NLP engineers.
Keyword Extraction With KeyBERT
Learn how to identify the top keywords and phrases within a body of text with KeyBERT.
Topic Modelling With BERTopic
Learn how to perform topic modelling to determine what topics are within unlabelled text data using BERTopic with Python.
Semantic Similarity With Sentence Transformers
Learn how to use Sentence Transformers to compute the similarity between sentences
Text Classification With Happy Transformer and Hugging Face's Evaluate Library
Learn how to train and evaluate a sentiment analysis model using Happy Transformer and Hugging Face's brand new Evaluate library
How to Use Hugging Face's New Evaluate Library
Learn how to leverage Hugging Face's brand new library called Evaluate to evaluate your AI models with just a few lines of code
Text Classification With Hugging Face's API
There's no need for expensive hardware or backend developers to deploy the latest and greatest text classification Transformer models
GPT-Neo With Hugging Face's Transformers API
Learn how to implement EleutherAI's 2.7 billion parameter open-source version of GPT-3 with Hugging Face's API
Top 3 Fine-Tuned T5 Transformer Models
Learn how to implement a Transformer model for paraphrasing, keywords to text and grammar correction