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flexitok/unigram_tur_Latn_32000
unigram_tur_Latn_32000 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 turLatn data from Fineweb-2-HQ.
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Updated Feb 23, 2026
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From the Hugging Face model README
A UnigramLM tokenizer trained on tur_Latn data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | UnigramLM |
| Language | tur_Latn |
| Target Vocab Size | 32,000 |
| Final Vocab Size | 0 |
| Pre-tokenizer | ByteLevel |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("<repo_id>")
tokens = tokenizer.encode("Hello, world!")
tokenizer.json — Full HuggingFace tokenizervocab.json — Vocabulary mappingtokenizer.model — SentencePiece protobuf (if available)