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flexitok/
feat2-bpe_tur_Latn_16000

Name: feat2-bpe_tur_Latn_16000
Availability: InStock

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Byte-Level BPE Tokenizer: tur_Latn (16K)

A Byte-Level BPE tokenizer trained on tur_Latn data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`tur_Latn`
Target Vocab Size	16,000
Final Vocab Size	16,000
Pre-tokenizer	gpt4
Number handling	individual
Contraction handling	True
Normalizer	NFC
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	2

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/feat2-bpe_tur_Latn_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, el, lo, ,, Ġw, orld, !, Ġ, 12, 3, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ`	`43, 239, 1228, 15, 1085, 7548, 4, 177, 1270, 22, 3874, 335, 3309, 1065, 255, 1641, 17, 177, 5477, 197`