flexitok/bpe_vie_Latn_16000

Byte-Level BPE Tokenizer: vie_Latn (16K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	vie_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_vie_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, ello, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ, «	43, 8750, 15, 8674, 4, 173, 9029, 2698, 9651, 2982, 1626, 6093, 17, 173, 6939, 193, 10539, 193, 6939, 108