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c7507d5 verified 16 days ago

1.3 kB

license: mit
language:
  - cmn
tags:
  - tokenizer
  - bpe
  - flexitok
  - fineweb2

Byte-Level BPE Tokenizer: cmn_Hani (16K)

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

Training Details

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

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/-bpe_cmn_Hani_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`	`Hello, ,, Ġworld, !, Ġ, 1, 2, 3, 4, 5, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģĵ, ãĤĵ, ãģ«, ãģ¡`	`9609, 15, 8724, 4, 181, 20, 21, 22, 23, 24, 9771, 3195, 2412, 7934, 17, 181, 10273, 9388, 7056, 13105`