Eosc/pretraining

Background

This page provides an informal, technically-oriented survey over available (and commonly used) architecturs and implementations for large-scale pre-training (and fine-tuning) of contextualized neural language models. The NLPL use case, will install, validate, and maintain a selection of these implementations, in an automated and uniform manner, on multiple HPC systems.