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ccf3178 verified 23 days ago

1.36 kB

license: mit
language:
  - arb
  - fas
tags:
  - tokenizer
  - bpe
  - flexitok
  - fineweb2

Byte-Level BPE Tokenizer: ['arb_Arab', 'fas_Arab'] (16K)

A Byte-Level BPE tokenizer trained on ['arb_Arab', 'fas_Arab'] data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`['arb_Arab', 'fas_Arab']`
Target Vocab Size	16,000
Final Vocab Size	16,960
Pre-tokenizer	custom:arb_Arab
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NONE
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	4

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_Arab_16000")
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, ell, o, ,, Ġ, w, orld, !, Ġ, 123, 45, Ġ, Th, is, Ġ, is, Ġ, a, Ġ, t`	`42, 5027, 81, 14, 223, 89, 12762, 3, 223, 16853, 5208, 223, 5728, 1147, 223, 1147, 223, 67, 223, 86`