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Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

33 mentions on Hacker News by 29 people: 11 stories, 22 comments · first 2017-05-09 · latest 2025-06-25

Mentions per year 33 mentions · busiest year 2021 (7)
20082026
  1. I haven’t tried it myself, but NLLB-200 has various sizes going down to 600M params: https://github.com/facebookresearch/fairseq/tree/nllb/ If running locally is too difficult, you can use llm to access hosted models too.
    comment by JimDabell · 2025-06-25 · in Web Translator API
  2. ▲ 1
    Data2vec 2.0
    story by Bluestein · 2024-07-01 · 0 comments
  3. ▲ 1
    Sequence-to-Sequence Toolkit Written in Python
    story by fzliu · 2024-03-31 · 0 comments
  4. …a lot of this for you and they optimized it https://engineering.fb.com/2021/07/15/open-source/fsdp/ https://github.com/facebookresearch/fairseq TLDR: really depends on your use case, but it is a good question. I/O is an asshole
  5. Whisper is now outclassed by Facebook's MMS https://github.com/facebookresearch/fairseq/tree/main/exampl... though the integration work to make it a turnkey solution for a wider audience hasn't happened yet. (E.g.…
  6. Code: https://github.com/facebookresearch/fairseq/tree/main/exampl... Blog Post: https://ai.facebook.com/blog/multilingual-model-speech-recog... Paper: https://research.facebook.com/publications/scaling-speech-te... Languages coverage:…
  7. ▲ 705
    Meta AI announces Massive Multilingual Speech code, models for 1000+ languages
    story by crakenzak · 2023-05-22 · 222 comments
  8. That isn't true. NLLB code is MIT licensed. https://github.com/facebookresearch/fairseq/blob/nllb/LICENS... The model is CC. Because models aren't code.
  9. ▲ 2
    SpeechMatrix: Language pairs and 418 thousand hours of speech
    story by jkw · 2022-10-19 · 0 comments
  10. Here you go: https://github.com/facebookresearch/fairseq/tree/nllb
  11. …the flores-200 spm model, correct. To generate from the model, check out the instructions here: https://github.com/facebookresearch/fairseq/tree/nllb/exampl...
    comment by hello_im_angela · 2022-07-07 · in No Language Left Behind
  12. We release several smaller models as well: https://github.com/facebookresearch/fairseq/tree/nllb/exampl... that are 1.3B and 615M parameters. These are usable on smaller GPUs. To create these smaller models but retain good performance, we…
    comment by hello_im_angela · 2022-07-06 · in No Language Left Behind
  13. …Paper: https://research.facebook.com/publications/no-language-left-... Github: https://github.com/facebookresearch/fairseq/tree/nllb/
    comment by pesenti · 2022-07-06 · in No Language Left Behind
  14. ▲ 10
    Facebook No Language Left Behind (NLLB) – Translate 200 Languages
    story by jensgk · 2022-07-06 · 0 comments
  15. …were discussing. Also, I don't see any way to run the examples as the code is missing those files: https://github.com/pytorch/fairseq/tree/main/examples/data2v... The code is what we're interested in here, not "hold onto your papers" talk…
  16. …Generation, Translation, and Comprehension https://arxiv.org/abs/1910.13461 (paper) Code (Facebook) https://github.com/pytorch/fairseq/tree/main/examples/bart Code (Hugginface) https://huggingface.co/transformers/model_doc/bart.html
  17. ▲ 2
    Fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
    story by lnyan · 2021-09-16 · 0 comments
  18. It's open-source: https://github.com/pytorch/fairseq/tree/master/examples/wav2...
  19. They have an open source repo linked from the article here: https://github.com/pytorch/fairseq/tree/master/examples/wav2...
  20. ▲ 1
    Wav2vec Unsupervised (wav2vec-U) is a framework for building speech recognition
    story by todsacerdoti · 2021-05-21 · 0 comments
  21. https://github.com/pytorch/fairseq/pull/3331 and https://github.com/pytorch/fairseq/pull/3327
  22. …this was also added to [Fairscale]( https://fairscale.readthedocs.io/en/latest/ ) and [Fairseq]( https://github.com/pytorch/fairseq ) last week. In particular, the Fairscale implementation can be used in any pyotrch project without…
  23. ▲ 1
    Beyond English-Centric Multilingual Machine Translation
    story by headalgorithm · 2020-10-21 · 0 comments
  24. …different). * NVIDIA OpenSeq2Seq ( https://github.com/NVIDIA/OpenSeq2Seq ). * Facebook Fairseq ( https://github.com/pytorch/fairseq ). Attention-based encoder-decoder models mostly. * Facebook wav2letter (…
  25. …different). * NVIDIA OpenSeq2Seq ( https://github.com/NVIDIA/OpenSeq2Seq ). * Facebook Fairseq ( https://github.com/pytorch/fairseq ). Attention-based encoder-decoder models mostly. * Facebook wav2letter (…
  26. …[1]. The only summarization implementation I spotted was made by huggingface (of course). [2] [1] https://github.com/pytorch/fairseq/tree/master/examples/bart [2] https://huggingface.co/facebook/bart-large-cnn
  27. ▲ 3
    Unsupervised Cross-Lingual Representation Learning at Scale (XLM-RoBERTa)
    story by Anon84 · 2019-12-28 · 0 comments
  28. ▲ 3
    Fairseq: Facebook AI Research Sequence-To-Sequence Toolkit Written in Python
    story by kumaranvpl · 2018-06-22 · 0 comments
  29. Both Google and Facebook have released pre-trained models in a few languages [0, 1]. [0] https://github.com/facebookresearch/fairseq [1] https://google.github.io/seq2seq/nmt/
  30. There is no online demo but you can run the pre-trained models on your local machine: https://github.com/facebookresearch/fairseq#quick-start . CPU-only versions of the models are available as well. For a comparison with other translation…
  31. ▲ 6
    Facebook AI Research Sequence-To-Sequence Toolkit
    story by happy-go-lucky · 2017-05-09 · 0 comments
  32. There is a github link in the article with both things: https://github.com/facebookresearch/fairseq Google and Deepmind released a lot of stuff, I don't feel I have the right to complain about it.
  33. paper: https://s3.amazonaws.com/fairseq/papers/convolutional-sequen... code: https://github.com/facebookresearch/fairseq pre-trained models: https://github.com/facebookresearch/fairseq#evaluating-pre-t...
    comment by snippyhollow · 2017-05-09 · in A novel approach to neural machine translation