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facebookresearch/fairseq

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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)
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  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. …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
    comment by godelski · 2023-09-19 · in Nvidia's 900 tons of GPU muscle bulks up server market, slims down wallets
  3. 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.…
    comment by yorwba · 2023-05-30 · in Tone: Cross platform audio tagger and metadata editor
  4. 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:…
    comment by crakenzak · 2023-05-22 · in Meta AI announces Massive Multilingual Speech code, models for 1000+ languages
  5. 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.
    comment by kube-system · 2023-04-10 · in Why is GPT-3 15.77x more expensive for certain languages?
  6. Here you go: https://github.com/facebookresearch/fairseq/tree/nllb
    comment by code51 · 2022-07-07 · in Meta AI open-sources NLLB-200 model that translates 200 languages
  7. …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
  8. 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
  9. …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
  10. …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…
    comment by kordlessagain · 2022-01-21 · in Meta AI: Fist high-performance self-supervised algorithm for multiple modalities
  11. …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
    comment by deeplstm · 2021-10-08 · in BART: Denoising Seq2Seq Pre-training for NLG (explained)
  12. It's open-source: https://github.com/pytorch/fairseq/tree/master/examples/wav2...
    comment by yorwba · 2021-05-22 · in High-performance speech recognition with no supervision at all
  13. They have an open source repo linked from the article here: https://github.com/pytorch/fairseq/tree/master/examples/wav2...
    comment by simonw · 2021-05-21 · in High-performance speech recognition with no supervision at all
  14. https://github.com/pytorch/fairseq/pull/3331 and https://github.com/pytorch/fairseq/pull/3327
    comment by stephenroller · 2021-03-14 · in Zero-3 Offload: Scale DL models to trillion parameters without code changes
  15. …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…
    comment by stephenroller · 2021-03-13 · in Zero-3 Offload: Scale DL models to trillion parameters without code changes
  16. …different). * NVIDIA OpenSeq2Seq ( https://github.com/NVIDIA/OpenSeq2Seq ). * Facebook Fairseq ( https://github.com/pytorch/fairseq ). Attention-based encoder-decoder models mostly. * Facebook wav2letter (…
    comment by nshm · 2020-08-31 · in Mozilla's Speech-to-Text Engine Is at Risk Following Layoffs
  17. …different). * NVIDIA OpenSeq2Seq ( https://github.com/NVIDIA/OpenSeq2Seq ). * Facebook Fairseq ( https://github.com/pytorch/fairseq ). Attention-based encoder-decoder models mostly. * Facebook wav2letter (…
    comment by albertzeyer · 2020-08-22 · in Future of DeepSpeech / STT after recent changes at Mozilla
  18. …[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
    comment by generalizations · 2020-08-20 · in Show HN: Say Less – AI summarization tool in the Gmail compose window
  19. 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/
    comment by tchalla · 2017-08-29 · in DeepL Translator – AI Assistance for Language
  20. 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…
    comment by jgehring · 2017-05-10 · in A novel approach to neural machine translation
  21. 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.
    comment by jorgemf · 2017-05-09 · in A novel approach to neural machine translation
  22. 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