HuggingFace's Transformers: State-of-the-art Natural Language Processing
Summary
This paper presents the Transformers library, an open-source library that provides state-of-the-art Transformer architectures and pretrained models under a unified API, designed to make advanced natural language processing accessible to the broader machine learning community.
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Paper page - HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Source: https://huggingface.co/papers/1910.03771
Abstract
Transformers library provides state-of-the-art Transformer architectures and pretrained models for natural language processing tasks with a unified API and emphasis on extensibility and robust deployment.
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining.Transformer architectureshave facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks. 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 artTransformer architecturesunder a unified API. Backing this library is a curated collection ofpretrained modelsmade by and available for the community. Transformers is designed to beextensibleby researchers, simple for practitioners, and fast and robust in industrial deployments. The library is available at https://github.com/huggingface/transformers.
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