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[R] DistilBERT: A smaller, faster, cheaper, lighter BERT trained with distillation!

HuggingFace released their first NLP transformer model “DistilBERT”, which is similar to the BERT architecture: only 66 million parameters (instead of 110 million) while keeping 95% of the performance on GLUE.

They released a blogpost detailing the procedure with a hands-on.

It is also available on their repository pytorch-transformers alongside 7 other transformer models.

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.