HamidrezaGholamrezaei/LLM-Text-Classification-with-RoBERTa

A project demonstrating the use of Large Language Models (LLMs) for text classification using the RoBERTa model.

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Experimental

This project demonstrates how to classify text into predefined categories using advanced AI models. It takes raw text inputs and assigns them to relevant categories like 'World News' or 'Sports' with high accuracy. This is useful for anyone who needs to automatically sort or categorize large volumes of textual information.

No commits in the last 6 months.

Use this if you need to automatically sort news articles, social media posts, or any text documents into distinct, predefined categories.

Not ideal if you need to understand the sentiment of text or extract specific entities, as its primary purpose is classification.

news-categorization content-management information-organization document-sorting
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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8

Forks

1

Language

Python

License

MIT

Last pushed

May 22, 2024

Commits (30d)

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