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fairseq

Description

fairseq website

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.

Environment 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:

Ott, M., Edunov, S., Baevski, A., Fan, A., Gross, S., Ng, N., Grangier, D., & Auli, M. (2019). A fast, extensible toolkit for sequence modeling. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (pp. 48–54). Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-4009

Categories

modeling, ai