[2110.07577] UniPELT: A Unified Framework for Parameter-Efficient ...
2021年10月14日 · Recent parameter-efficient language model tuning (PELT) methods manage to match the performance of fine-tuning with much fewer trainable parameters and perform …
UniPELT: A Unified Framework for Parameter-Efficient Language …
5 天之前 · In light of model diversity and the difficulty of model selection, we propose a unified framework, UniPELT, which incorporates different PELT methods as submodules and learns …
fast-growing number of new PELT methods and tasks. In light of model diversity and the difculty of model selection, we propose a unied framework, U NIPELT, which incorpo-rates different …
morningmoni/UniPELT - GitHub
This repo provides the code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022. We support multiple Parameter-Efficient Language …
new PELT methods and downstream tasks. In light of model diversity and the difficulty of model selection, we propose a unified framework, UNIPELT, which incorporates different PELT …
Language Model Tuning - ar5iv
In this paper, we present a comprehensive study of representative parameter-efficient language model tuning (PELT) methods and propose a unified framework, which incorporates different …
TUNiB
Protect your platform from AI-generated hate speech and breaches of private information with TUNiB’s NLP APIs. Detects 12 categories of toxicity, using 4 levels of severity and …
TUNiB - GitHub
AI model designed to test the effectiveness in handling external ethical attacks. Loading… TUNiB Inc. TUNiB has 9 repositories available. Follow their code on GitHub.
GitHub - tunib-ai/parallelformers: Parallelformers: An Efficient …
2021年7月18日 · Parallelformers, which is based on Megatron LM, is designed to make model parallelization easier. You can parallelize various models in HuggingFace Transformers on …
[PDF] HyperPELT: Unified Parameter-Efficient ... - Semantic Scholar
2022年3月8日 · A unified framework, UniPELT, is proposed, which incorporates different PELT methods as submodules and learns to activate the ones that best suit the current data or task …