Downloads · 30 days
0
unigram_arb_Arab_8000
flexitok/unigram_arb_Arab_8000
unigram_arb_Arab_8000 is a machine learning model from flexitok. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A UnigramLM tokenizer trained on arbArab data from Fineweb-2-HQ.
Access
Public
Updated Feb 23, 2026
Repo size
216 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json836 KB · 79%
At a glance
- License
- mit
- Access
- Public
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026
- SHA
- c5fefa7f
Model card
From the Hugging Face model README
UnigramLM Tokenizer: arb_Arab (8K)
A UnigramLM tokenizer trained on arb_Arab data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | UnigramLM |
| Language | arb_Arab |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 8,000 |
| Pre-tokenizer | ByteLevel |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/-unigram_arb_Arab_8000")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingtokenizer.model— SentencePiece protobuf (if available)
- License
- mit
- Languages
- arb
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026