Materials accompanying the session presented by Matteo Grella at GopherCon AU 2023.
This repository contains examples for integrating ML/NLP capabilities into Go applications using Cybertron.
Deck: The Go-to Language for AI: Exploring Opportunities and Challenges
Here is a list of available demos (each one has its own README):
- Language Modeling
- Token Classification
- Question-Answering
- Zero-Shot Text Classification
- Text Similarity
- Machine Translation
Please note that each example download a model that is approximately 2 GB in size. Ensure you have ample storage available on your hard drive before proceeding. For optimal performance, it is recommended to execute the models on an amd64 architecture. Mac users with Apple Silicon should prefix all executions with GOARCH=amd64.