ru
ru
Source
EMNLP
DATE OF PUBLICATION
11/12/2024
Authors
Vasily Konovalov Maksim Savkin Anastasia Voznyuk Fedor Ignatov Anna Korzanova Dmitry Karpov Alexander Popov
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DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning

Abstract

We present DeepPavlov 1.0, an open-source framework for using Natural Language Processing (NLP) models by leveraging transfer learning techniques. DeepPavlov 1.0 is created for modular and configuration-driven development of state-of-the-art NLP models and supports a wide range of NLP model applications. DeepPavlov 1.0 is designed for practitioners with limited knowledge of NLP/ML. DeepPavlov is based on PyTorch and supports HuggingFace transformers. DeepPavlov is publicly released under the Apache 2.0 license and provides access to an online demo.

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