mod-tokenizers-zero-padded-rtl_5digit – AI Model by flexitok | AlphaNeural AI

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mod-tokenizers-zero-padded-rtl_5digit

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Byte-Level BPE Tokenizer: numeric (110K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`numeric`
Target Vocab Size	110,006
Final Vocab Size	110,006
Pre-tokenizer	byte_level
Number handling	rtl_5digit
Contraction handling	False
Normalizer	NONE
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	1

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("None")
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
`103500109 mod 67`	`1035, 00109, , mod, , 67`	`91610, 96789, 6, 4, 6, 53`