Fairseq
Revision as of 15:18, 15 August 2022 by Israel.herrera (talk | contribs)
Description
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks.
Environment Modules
Run module spider fairseq to find out what environment modules are available for this application.
System Variables
- HPC_FAIRSEQ_DIR - installation directory
- HPC_FAIRSEQ_BIN - executable directory
Citation
If you publish research that uses fairseq you have to cite it as follows:
A Fast, Extensible Toolkit for Sequence Modeling. Myle Ott and Sergey Edunov and Alexei Baevski and Angela Fan and Sam Gross and Nathan Ng and David Grangier and Michael Auli. Proceedings of NAACL-HLT 2019: Demonstrations. 2019