fastBERTtokens: Tokenizing for BERT in parallel

バージョン 1.0.0 (1.43 KB) 作成者: Ralf Elsas
This function simply divides your text into batches, and tokenizes in parallel. Provides significant speed-up.
ダウンロード: 17
更新 2023/2/24

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Function to use Matlab BERT tokenizer in parallel
This function simply divides your text into batches, and tokenizes in parallel. As the Matlab tokenizer is very slow when run on a single processor for large data, this provides a significant speed-up. On an i7-10875H laptop with 8 logical units, tokenizing 76k sentences takes about 100 seconds.
Also note that providing the Matlab BERT model is important, as different BERT models use different encodings for the special BERT tokens like [SEP] etc.

引用

Ralf Elsas (2024). fastBERTtokens: Tokenizing for BERT in parallel (https://www.mathworks.com/matlabcentral/fileexchange/125295-fastberttokens-tokenizing-for-bert-in-parallel), MATLAB Central File Exchange. 取得済み .

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作成: R2022b
R2021a 以降のリリースと互換性あり
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1.0.0