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1

Tokenizers

Fast State-of-the-Art Tokenizers optimized for Research and Production

...Tokenizers provides an implementation of today’s most used tokenizers, with a focus on performance and versatility. These tokenizers are also used in Transformers. Train new vocabularies and tokenize, using today’s most used tokenizers. Extremely fast (both training and tokenization), thanks to the Rust implementation. Takes less than 20 seconds to tokenize a GB of text on a server’s CPU. Easy to use, but also extremely versatile. Designed for both research and production. Full alignment tracking. ...

Downloads: 5 This Week

Last Update: 2025-12-02
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2

Lance

Modern columnar data format for ML and LLMs implemented in Rust

Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage.

Downloads: 6 This Week

Last Update: 2026-03-30
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3

ModelFox

ModelFox makes it easy to train, deploy, and monitor ML models

ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. ...

Downloads: 45 This Week

Last Update: 2022-10-07
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