flexitok/bpe_ltr_fas_Arab_4000_v2

Byte-Level BPE Tokenizer: fas_Arab (4K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	fas_Arab
Target Vocab Size	4,000
Final Vocab Size	5,075
Pre-tokenizer	custom:fas_Arab
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NONE
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	2

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_fas_Arab_4000_v2")
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, l, o, ,, Ġ, w, or, l, d, !, Ġ, 123, 45, Ġ, T, h, is, Ġ, is	42, 2363, 78, 81, 14, 223, 89, 1375, 78, 70, 3, 223, 4408, 4955, 223, 54, 74, 1809, 223, 1809