flexitok/bpe_ces_Latn_16000_v2

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	16,000
Pre-tokenizer	custom:ces_Latn
Number handling	individual
Contraction handling	True
Normalizer	NFC
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	2

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ces_Latn_16000_v2")
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, 1, 2, 3, 4, 5, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ	43, 582, 261, 15, 925, 7483, 4, 176, 20, 21, 22, 23, 24, 342, 6338, 2704, 224, 2373, 17, 176