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24782a4 verified 2 months ago

1.31 kB

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

Byte-Level BPE Tokenizer: ind_Latn (16K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`ind_Latn`
Target Vocab Size	16,000
Final Vocab Size	16,961
Pre-tokenizer	custom:ind_Latn
Number handling	ltr_3digit
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_ltr_ind_Latn_16000_v2")
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, ello, ,, Ġw, orld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ`	`42, 15107, 14, 429, 4639, 3, 223, 16355, 4529, 13915, 1153, 395, 7029, 16, 223, 9732, 244, 15716, 244, 9732`