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| <title>UTC (Universal Token Classification) HandyLab App Description</title> | |
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| <h2>Welcome to GliClass SandBox!</h2> | |
| <h3>GLiClass: Generalist and Lightweight Model for Sequence Classification:</h3> | |
| <ol> | |
| <li><b>Zero-Shot text classification</b></li> | |
| <li><b>Topic Classification</b></li> | |
| <li><b>Sentiment Analysis</b></li> | |
| <li><b>Reranker in RAG pipelines</b></li> | |
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| <h3>What is GliClass?</h3> | |
| <p>This is an efficient zero-shot classifier inspired by <a href="https://github.com/urchade/GLiNER/tree/main">"GLiNER"</a> work. It demonstrates the same performance as a cross-encoder while being more compute-efficient because classification is done at a single forward path. It can be used for topic classification, sentiment analysis and as a reranker in RAG pipelines.<p> | |
| <h3>Remember, information extraction is not just about data; it's about insights. Let's uncover those insights together!💫</h3> | |
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