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[D] Benchmarking 🤗/Transformers on both PyTorch and TensorFlow

Since our recent release of Transformers (previously known as pytorch-pretrained-BERT and pytorch-transformers), we’ve been working on a comparison between the implementation of our models in PyTorch and in TensorFlow.

We’ve released a detailed report where we benchmark each of the architectures hosted on our repository (BERT, GPT-2, DistilBERT, …) in PyTorch with and without TorchScript, and in TensorFlow with and without XLA. We benchmark them for inference and the results are visible in the following spreadsheet.

We would love to hear your thoughts on the process.

submitted by /u/jikkii
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.