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

Transformers от HuggingFace: современные методы обработки естественного языка
Victor Sanh, Lysandre Debut, Julien Chaumond, Thomas Wolf, Clément Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew, Shleifer, Sam, von Platen, Patrick, Ma, Clara, Jernite, Yacine, Plu, Julien, Xu, Canwen, Scao, Teven Le, Gugger, Sylvain, Drame, Mariama, Lhoest, Quentin, Rush, Alexander M., Davison, Joe
2019-10-09

HuggingFace Transformers libraryTransformer architecturesTransformersnatural language processingpretrained models
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, simple for practitioners, and fast and robust in industrial deployments. The library is available at \url{https://github.com/huggingface/transformers}.
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The library backs its architectures with a curated collection of pretrained models made available to the community.
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The project aims to democratize advances in model architecture and pretraining by making them accessible via the GitHub repository https://github.com/huggingface/transformers.
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Transformers is an open-source library that provides carefully engineered state-of-the-art Transformer architectures under a unified API.
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Transformers is designed to be extensible for researchers, simple for practitioners, and fast and robust for industrial deployments.

HuggingFace Transformers open-source library

Provision and engineering of state-of-the-art Transformer model architectures and curated pretrained models under a unified, extensible API for research, practitioner use, and industrial deployment

Publication Details
Publication Date
2019-10-09
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Authors
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
Clément Delangue
Anthony Moi
Pierric Cistac
Tim Rault
Rémi Louf
Morgan Funtowicz
Jamie Brew
Shleifer, Sam
von Platen, Patrick
Ma, Clara
Jernite, Yacine
Plu, Julien
Xu, Canwen
Scao, Teven Le
Gugger, Sylvain
Drame, Mariama
Lhoest, Quentin
Rush, Alexander M.
Davison, Joe
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