flexitok/bpe_ltr_fas_Arab_1000_v2

Byte-Level BPE Tokenizer: fas_Arab (1K)

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	1,000
Final Vocab Size	2,099
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_1000_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, e, l, l, o, ,, Ġ, w, o, r, l, d, !, Ġ, 123, 45, Ġ, T, h, i	42, 71, 78, 78, 81, 14, 223, 89, 81, 84, 78, 70, 3, 223, 2085, 1874, 223, 54, 74, 75