Naacl 2025 Findings In

Naacl 2025 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 2025 findings paper read:


Naacl 2025 Findings In

For erica models, you can find them here. The pytorch implementation of sgsh:

Naacl 2025 Findings In Images References :