Introducing LiqFit framework - New revolutionized way of NLP model fine-tuning
Posted January 26, 2024 by knowledgator
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!
Feature News
🔍 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
🌟 Framework features:
- Only a few examples are needed 🎯
- Versatile for various info-extraction tasks 📝
- Adapts to classes not presented in the training set 🌈
- Supports various cross-encoder types ⚙️
- Handles unbalanced datasets well ⚖️
- Perfect for multi-label classification 🏷️
Follow us on social media for new upcoming releases: https://www.knowledgator.com/
-- END ---
| Contact Email | [email protected] |
| Issued By | Knowledgator Engineering |
| Business Address | 2ND FLOOR COLLEGE HOUSE, 17 KING EDWARDS ROAD |
| Country | United Kingdom |
| Categories | Software , Technology |
| Tags | machine learning , artificial intelligence , natural language processing , information extraction , named entity recognition |
| Last Updated | January 26, 2024 |