Naacl 2024 Findings In. Structured model pruning emerges as a viable approach to reduce model size and accelerate inference, without requiring specialized operators and libraries for deployment. This repo contains the source code for the naacl 2024 findings paper read:
For erica models, you can find them here. The pytorch implementation of sgsh: