AdapterHub
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About
Jonas Pfeiffer is a Research Scientist at Google Research working on Natural Language Processing, interested in modular representation learning in multi-task, multilingual, and multi-modal contexts, and in low-resource scenarios. He is one of the main contributors of the AdapterHub.ml framework, which makes it very easy to add and train new parameters within pre-trained transformer-based language models. His work includes AdapterFusion, MAD-X, and the AdapterHub framework, focusing on efficient transfer learning and adaptation of pre-trained models.
Platform
Task
Features
• multi-task learning
• framework for adapting transformers
• adapter-based transfer learning
• multi-modal learning
• multilingual learning
• modular representation learning
Pricing Plans
Free
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