This directory contains examples for BERT PTQ/QAT related training. mpirun -np 4 -H localhost:4 \ --allow-run-as-root -bind-to none -map-by slot \ -x NCCL_DEBUG=INFO ...
Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...
Abstract: In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. Conventionally, the BERT model relies on floating ...
Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania ...
Abstract: We introduce BERT-NAR-BERT (BnB) – a pre-trained non-autoregressive sequence-to-sequence model, which employs BERT as the backbone for the encoder and decoder for natural language ...
How to Fine-Tune BERT for Text Classification? This is the code and source for the paper How to Fine-Tune BERT for Text Classification? In this paper, we conduct exhaustive experiments to investigate ...
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