tokenizers

πŸ’₯ Fast State-of-the-Art Tokenizers optimized for Research and Production (by huggingface)

Tokenizers Alternatives

Similar projects and alternatives to tokenizers

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better tokenizers alternative or higher similarity.

tokenizers reviews and mentions

Posts with mentions or reviews of tokenizers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-07.
  • HF Transfer: Speed up file transfers
    2 projects | /r/rust | 7 Jul 2023
    Hugging Face seems to like Rust. They also wrote Tokenizers in Rust.
  • LLM custom dictionary
    1 project | /r/learnmachinelearning | 7 May 2023
    Your intuition is right. There are two ways (in increasing order of result performance) : 1. You can simply extend vocab file of the tokenizer and test the predictions 2. You can extend the vocab file and re-train your model on custom data which has these new tokens. Check the following issue on GitHub : https://github.com/huggingface/tokenizers/issues/247
  • [D] SentencePiece, WordPiece, BPE... Which tokenizer is the best one?
    3 projects | /r/MachineLearning | 27 Dec 2021
    SentencePiece -> implementation of some algorithms (there are several others, https://github.com/microsoft/BlingFire https://github.com/glample/fastBPE https://github.com/huggingface/tokenizers )
  • Portability of Rust in 2021
    8 projects | /r/rust | 10 Sep 2021
    In sum I would like the idea to go with Rust as I more or less got to rewrite the whole thing anyway, but I am a bit skeptical if I will be able to interface with everything that might come up at some point. Or probably end up in a wrapper hell if I got to use more C++ libraries. On the other hand there are definitely a few Rust projects out there that might come in handy (for example https://github.com/huggingface/tokenizers). And the build process is pretty awful right now (CMake it is but with lots of hacks).
  • [D] What's going to be the dominant language for machine learning in 5 years?
    1 project | /r/MachineLearning | 9 Feb 2021
    A full machine learning pipeline usually comprises far more than just the model, and this is the area where Rust may shine (the recent work by HuggingFace and their https://github.com/huggingface/tokenizers library is a good example)
  • substitute for tokenizer in torchtext
    1 project | /r/LanguageTechnology | 31 Jan 2021
    As for other tokenizers, you can take a look at - Huggingface tokenizers library: https://github.com/huggingface/tokenizers - NLTK tokenize: https://www.nltk.org/api/nltk.tokenize.html - Polygot: https://pypi.org/project/polyglot/
  • PyO3: Rust Bindings for the Python Interpreter
    18 projects | news.ycombinator.com | 29 Jan 2021
    Huggingface Tokenizers (https://github.com/huggingface/tokenizers), which are now used by default in their Transformers Python library, use pyO3 and became popular due to the pitch that it encoded text an order of magnitude faster with zero config changes.

    It lives up to that claim. (I had issues with return object typing when going between Python/Rust at first but those are more consistent now)

  • Rusticles #19 - Wed Nov 11 2020
    16 projects | dev.to | 10 Nov 2020
    huggingface/tokenizers (Rust): πŸ’₯Fast State-of-the-Art Tokenizers optimized for Research and Production
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    workos.com | 23 Apr 2024
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