📄️ Quickstart
Welcome to the LiqFit Framework Quickstart Guide! This document will help you get started with the basics of using LiqFit.
📄️ Intro
LiqFit is an easy-to-use framework for few-shot learning of cross-encoder models. These models are trained to determine whether two statements entail, contradict each other, or are neutral — a task setup applicable to various information extraction problems, such as text classification, named entity recognition, and question answering. With LiqFit, competitive results can be achieved using as few as 8 examples per label.
📄️ Usage
Emotion Classification with LiqFit
📄️ Components & Configs
Collators [source]