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    <abstract>IrEne is an energy prediction system that accurately predicts the interpretable inference energy consumption of a wide range of Transformer-based NLP models. We present the IrEne-viz tool, an online platform for visualizing and exploring energy consumption of various Transformer-based models easily. Additionally, we release a public API that can be used to access granular information about energy consumption of transformer models and their components. The live demo is available at http://stonybrooknlp.github.io/irene/demo/.</abstract>
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%0 Conference Proceedings
%T IrEne-viz: Visualizing Energy Consumption of Transformer Models
%A Lal, Yash Kumar
%A Singh, Reetu
%A Trivedi, Harsh
%A Cao, Qingqing
%A Balasubramanian, Aruna
%A Balasubramanian, Niranjan
%Y Adel, Heike
%Y Shi, Shuming
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F lal-etal-2021-irene
%X IrEne is an energy prediction system that accurately predicts the interpretable inference energy consumption of a wide range of Transformer-based NLP models. We present the IrEne-viz tool, an online platform for visualizing and exploring energy consumption of various Transformer-based models easily. Additionally, we release a public API that can be used to access granular information about energy consumption of transformer models and their components. The live demo is available at http://stonybrooknlp.github.io/irene/demo/.
%R 10.18653/v1/2021.emnlp-demo.29
%U https://aclanthology.org/2021.emnlp-demo.29/
%U https://doi.org/10.18653/v1/2021.emnlp-demo.29
%P 251-258

Markdown (Informal)

[IrEne-viz: Visualizing Energy Consumption of Transformer Models](https://aclanthology.org/2021.emnlp-demo.29/) (Lal et al., EMNLP 2021)

• IrEne-viz: Visualizing Energy Consumption of Transformer Models (Lal et al., EMNLP 2021)

ACL

• Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, and Niranjan Balasubramanian. 2021. IrEne-viz: Visualizing Energy Consumption of Transformer Models. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 251–258, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.