4AI/LS-LLaMA
A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning
This project helps machine learning engineers and researchers fine-tune large language models (LLMs) for specific text classification and named entity recognition tasks. You provide text data with corresponding labels, and it outputs a specialized LLM capable of accurately classifying text or identifying entities within new text. It is designed for those who need to adapt powerful LLMs to their unique domain-specific datasets.
153 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher looking to fine-tune LLaMA models for sequence classification (like sentiment analysis) or token classification (like named entity recognition) using your own labeled datasets.
Not ideal if you are an end-user without machine learning experience or if you need a pre-built application rather than a tool for model development.
Stars
153
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24
Language
Python
License
MIT
Category
Last pushed
Mar 17, 2024
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