preprintarXiv (Cornell University)Oct 9, 2019GREEN OA

HuggingFace's Transformers: State-of-the-art Natural Language Processing

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Abstract

Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks. \textit{Transformers} is an open-source library with the goal of opening up these advances to the wider machine learning community. The library consists of carefully engineered state-of-the art Transformer architectures under a unified API. Backing this library is a curated collection of pretrained models made by and available for the community. \textit{Transformers} is designed to be extensible by researchers,…

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3,134
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Authors

22

Topics & keywords

Keywords
  • Transformer
  • Architecture
  • Computer science
  • Software engineering
  • Engineering
  • Electrical engineering
UN Sustainable Development Goals
  • Quality Education
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