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The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment (EMNLP 2023)

Benchmarking code for evaluating inference latency of NLP models across hardware platforms and deep learning frameworks. For more details, see paper at: https://arxiv.org/abs/2302.06117.

Cite as:

@article{fernandez2023framework,
  title={The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment},
  author={Fernandez, Jared and Kahn, Jacob and Na, Clara and Bisk, Yonatan and Strubell, Emma},
  journal={arXiv preprint arXiv:2302.06117},
  year={2023}
}

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