{"library":"fairseq","type":"library","category":null,"description":"fairseq is a sequence-to-sequence toolkit by Facebook AI Research, written in PyTorch. It provides reference implementations of various models for machine translation, language modeling, and other sequence generation tasks. Current version: 0.12.2. Release cadence is irregular, with the last significant release in 2021.","language":"python","status":"maintenance","version":"0.12.2","tags":["sequence-to-sequence","machine-translation","nlp","facebook","pytorch"],"last_verified":"Fri May 01","install":[{"cmd":"pip install fairseq","imports":["import fairseq","from fairseq.models import transformer"]}],"homepage":null,"github":"https://github.com/pytorch/fairseq","docs":null,"changelog":null,"pypi":"https://pypi.org/project/fairseq/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}