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flexitok/
bpe_script_Slav_16000

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Byte-Level BPE Tokenizer: ces_Latn (16K)

A Byte-Level BPE tokenizer trained on ces_Latn data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`ces_Latn`
Target Vocab Size	16,000
Final Vocab Size	16,968
Pre-tokenizer	custom:ces_Latn
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	2

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_Slav_16000")
tokens = tokenizer.encode("Hello, world!")

Files

tokenizer.json — Full HuggingFace tokenizer
vocab.json — Vocabulary mapping
merges.txt — BPE merge rules

Sample Encoding

Text	Tokens	Token IDs
`Hello, world! 12345 This is a test. こんにちは`	`H, el, lo, ,, Ġw, orld, !, Ġ, 123, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã`	`42, 632, 309, 14, 979, 7600, 3, 223, 16023, 4157, 390, 6444, 2780, 272, 2445, 16, 223, 9188, 244, 162`