flexitok/bpe_ces_Latn_16000

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	gpt4
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")
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, 12, 3, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ	43, 585, 262, 15, 935, 7574, 4, 176, 1235, 22, 4127, 343, 6419, 2744, 224, 2408, 17, 176, 9167, 196