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facebookresearch/fastText

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Library for fast text representation and classification.

27 mentions on Hacker News by 21 people: 8 stories, 19 comments · first 2016-08-04 · latest 2025-05-21

Mentions per year 27 mentions · busiest year 2017 (7)
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  1. …off-the-shelf embedding alignment algorithms (like < https://github.com/artetxem/vecmap > and < https://github.com/facebookresearch/fastText/tree/main/align... >, neither of which are cited or compared against) to work quite well on this…
    comment by jackpirate · 2025-05-21 · in Harnessing the Universal Geometry of Embeddings
  2. The list of forks https://github.com/facebookresearch/fastText/forks has explosion.ai (makers of spaCy)'s floret https://github.com/explosion/floret as the most starred one.
    comment by yorwba · 2024-06-19 · in Large language model data pipelines and Common Crawl
  3. …activity.[1] If you are looking for something similar, word2vec maybe? [0] https://fasttext.cc/ [1] https://github.com/facebookresearch/fastText
    comment by mhuffman · 2024-06-19 · in Large language model data pipelines and Common Crawl
  4. …really thought about NLP for about 3 years so there may be something better than this now [1] https://github.com/facebookresearch/fastText
    comment by sweezyjeezy · 2023-08-14 · in Autospam and Naive Bayes
  5. …[1] https://spacy.io/models [2] https://ufal.mff.cuni.cz/udpipe/models [3] https://github.com/facebookresearch/fastText/blob/master/doc...
    comment by laGrenouille · 2020-08-02 · in Do NLP Beyond English
  6. …this is used as a justification for not fixing completely broken data, like with Fasttext. https://github.com/facebookresearch/fastText/issues/710 - Building on the previous point, large datasets like this don't play nice with Git. There…
    comment by polm23 · 2020-04-16 · in Cleaning algorithm finds 20% of errors in major image recognition datasets
  7. Yeah you can - https://github.com/facebookresearch/fastText/blob/master/qua...
    comment by manojlds · 2018-03-20 · in Show HN: Word2Bits – Quantized Word Vectors
  8. …NLP researcher would use it. "This library can also be used to train supervised text classifiers" - https://github.com/facebookresearch/fastText#text-classifica... Looks like you can use it for gensim.…
    comment by Xeoncross · 2018-01-24 · in How to solve most NLP problems: a step-by-step guide
  9. …are somewhat obsolete in 2018 for modeling. For classification tasks, fasttext ( https://github.com/facebookresearch/fastText ) performs better and faster. Fasttext is also available in the popular NLP Python library gensim, with a good de
    comment by minimaxir · 2018-01-24 · in How to solve most NLP problems: a step-by-step guide
  10. …French, Italian and Dutch. FastText for example has pretrained embeddings for 294 languages: https://github.com/facebookresearch/fastText/blob/master/pre... Google's Parsey McParseface handles POS tagging for 53 languages:…
    comment by visarga · 2018-01-14 · in Show HN: Languagecrunch – NLP server Docker image
  11. https://github.com/facebookresearch/fastText this is Facebook's super efficient word2vec like implemention. i thought ppl might find it interesting
    comment by make3 · 2017-10-18 · in Word vectors are awesome but you don’t need a neural network to find them
  12. …them, unless you don't want to learn basic neutral nets. even then, just use Facebook fast text : https://github.com/facebookresearch/fastText
    comment by make3 · 2017-10-18 · in Word vectors are awesome but you don’t need a neural network to find them
  13. …reference that in terms of supervised learning of labels given a text document input, fasttext ( https://github.com/facebookresearch/fastText ) is leagues ahead of conventional approaches in both accuracy and training speed, and there is a…
    comment by minimaxir · 2017-05-22 · in How we built Tagger News: machine learning on a tight schedule
  14. …these two individuals is large and growing every day. [0] https://code.google.com/p/word2vec/ [1] https://github.com/facebookresearch/fastText [2] https://radimrehurek.com/gensim/
    comment by cs702 · 2017-02-13 · in Tomáš Mikolov on Word2vec and AI research at Microsoft, Google, Facebook [audio]
  15. …was made in part by the original word2vec authors, can handle as many cores as you throw at it. https://github.com/facebookresearch/fastText
    comment by minimaxir · 2016-12-06 · in Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
  16. …is the not-very-deep-learning "bag of tricks" that's conveniently implemented in fastText [1]. [1] https://github.com/facebookresearch/fastText
    comment by rspeer · 2016-11-18 · in How Quid uses deep learning with small data
  17. This was posted in 2015, but now that fasttext ( https://github.com/facebookresearch/fastText ), just released by Facebook and can scale to Instagram-sized datasets, can create word vectors better than word2vec which account for context (…
    comment by minimaxir · 2016-08-25 · in Machine Learning for Emoji Trends
  18. Link to source code: https://github.com/facebookresearch/fastText The big result here is the 15,000x speedup compared to a neural network, and which increases as the size of the dataset increases. But this doesn't mean neural networks are…
    comment by rer · 2016-08-21 · in Bag of Tricks for Efficient Text Classification
  19. …training on the full corpus. A little tweak on how these weights are initilized would do: https://github.com/facebookresearch/fastText/blob/master/src... I was a bit curious why they did not offer this by default. It seems quite useful.
    comment by eefic · 2016-08-13 · in FastText – Library for fast text representation and classification