flexitok/bpe_vie_Latn_4000

Byte-Level BPE Tokenizer: vie_Latn (4K)

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	4,000
Final Vocab Size	4,000
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_4000")
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, ĠTh, is, Ġis, Ġa, Ġt, est, ., Ġ, ã	43, 674, 1542, 15, 1212, 2553, 4, 173, 1147, 22, 2698, 365, 733, 2982, 1626, 211, 1790, 17, 173, 159