flexitok/mod-tokenizers-individual

Byte-Level BPE Tokenizer: numeric (0K)

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	17
Final Vocab Size	17
Pre-tokenizer	byte_level
Number handling	individual
Contraction handling	False
Normalizer	NONE
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	1

Usage

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
123500119 mod 67	1, 2, 3, 5, 0, 0, 1, 1, 9, , mod, , 6, 7	8, 9, 10, 12, 7, 7, 8, 8, 16, 6, 4, 6, 13, 14