flexitok/unigram_fas_Arab_16000

UnigramLM Tokenizer: fas_Arab (16K)

A UnigramLM tokenizer trained on fas_Arab data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	UnigramLM
Language	fas_Arab
Target Vocab Size	16,000
Final Vocab Size	0
Pre-tokenizer	ByteLevel
Normalizer	NFC
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	2
Data Source	/scratch/gsa/data/flexitok//fas_Arab/

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("<repo_id>")
tokens = tokenizer.encode("Hello, world!")

Files

• tokenizer.json — Full HuggingFace tokenizer
• vocab.json — Vocabulary mapping
• tokenizer.model — SentencePiece protobuf (if available)