python-tokenizers
Provides an implementation of today's most used tokenizers
Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. * 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 research and production. * Normalization comes with alignments tracking. It's always possible to get the part of the original sentence that corresponds to a given token. * Does all the pre-processing: Truncate, Pad, add the special tokens your model needs.
Tidak ada paket resmi yang tersedia untuk openSUSE Leap 16.0Distribusi
openSUSE Tumbleweed
openSUSE Leap 16.0
openSUSE Leap 15.6
openSUSE Factory RISCV
SLFO 1.2
openSUSE Backports for SLE 15 SP7
openSUSE Backports for SLE 15 SP4