PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
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Updated
Mar 12, 2024 - Python
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
This repository contains code for implementing the LexGLUE benchmark using two different versions of the BERT architecture. The original BERT model is compared to a modified version that includes bottleneck adapter modules.
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