Introducing LiqFit framework - New revolutionized way of NLP model fine-tuning

LiqFit is a new framework for few-shot learning of NLP models. It's easy to use and incredibly effective for tasks like text classification, NER, and other information extraction tasks, achieving competitive results with just 8 examples per label!

We're thrilled to announce the launch of LiqFit - the new go-to library for flexible few-shot learning of cross-encoder models.

\ud83d\udd0d What's LiqFit?
LiqFit is not just another library, it's a revolution in few-shot learning. Perfect for tasks ranging from text classification to question-answering, LiqFit stands out with its ability to work wonders with minimal data. Imagine achieving top-notch results with just 8 examples per label - that's the power of LiqFit!

Available on the Github: https://github.com/Knowledgator/LiqFit

\ud83c\udf1f Framework features:

- Only a few examples are needed \ud83c\udfaf
- Versatile for various info-extraction tasks \ud83d\udcdd
- Adapts to classes not presented in the training set \ud83c\udf08
- Supports various cross-encoder types ⚙️
- Handles unbalanced datasets well ⚖️
- Perfect for multi-label classification \ud83c\udff7️

Follow us on social media for new upcoming releases: https://www.knowledgator.com/
Contact Email
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Issued By
Knowledgator Engineering
Business Address
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Country
United Kingdom
Categories
Software · Technology
Last Updated
January 26, 2024
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