flexitok/bpe_ces_Latn_4000_v2

Byte-Level BPE Tokenizer: ces_Latn (4K)

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	4,000
Final Vocab Size	4,000
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_4000_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, or, ld, !, Ġ, 12, 3, 45, ĠT, h, is, Ġis, Ġa, Ġtest, ., Ġ	43, 584, 261, 15, 930, 279, 2423, 4, 176, 1196, 22, 3788, 342, 75, 479, 2733, 224, 2399, 17, 176