the key functionality of fast tokenizers is that they always keep track of the original span of texts the final tokens come from — a feature we call offset ...

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.

The “Fast” implementations allows: a significant speed-up in particular when doing batched tokenization and; additional methods to map between the original ...

1 февр. 2022 г. · The reason tokenized_example.is_fast is False, is obviously because it isn't a "FastTokenizer". Rather than converting a slow tokenizer, you can huggingface's ... Fast and slow tokenizers yield different results - Stack Overflow Transformers v4.x: Convert slow tokenizer to fast tokenizer Другие результаты с сайта stackoverflow.com

20 авг. 2024 г. · A fast tokenizer/lexer for JavaScript. Latest version: 1.7.0, last published: 3 months ago. Start using fast-tokenizer in your project by ...

A fast and memory-efficient library for WordPiece tokenization as it is used by BERT. Tokenization correctness and speed are automatically evaluated in ...

PaddleNLP Fast Tokenizer Library written in C++. Navigation. Project description; Release history; Download files. Verified details.

Продолжительность: 1:49
Опубликовано: 15 нояб. 2021 г.

17 февр. 2021 г. · They claim that it can make the tokenization process 10x faster than the old python-based tokenizer with Smart Caching in this blog.

ElectraTokenizerFast is implemented with Hugging Face's tokenizers library, which is implemented in Rust and provides faster tokenization. This makes it more ...