GLiNER: Unlock Zero-Shot NER Annotation using Annolive
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GLiNER: Unlock Zero-Shot NER Annotation using Annolive
Welcome to this guide on implementing a custom model in Annolive, specifically focusing on using GLiNER as the custom model. We will cover the steps for creating a Flask app server for GLiNER and integrating it with Auto-annotation in Annolive. Annolive enables users to utilize both publicly available models and their own custom models in…
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How to Build Balanced Datasets for Multi-Label Classification
The goal was to build a high-quality, balanced dataset to create a multi-label classification model that could classify SEC explanatory notes with multiple relevant labels. Challenges Solution Approach Here’s how MJ used Annolive to address each challenge, step by step: 1. Define the Labels and Guidelines First, MJ identified the labels needed for the SEC…
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