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0d82a7b verified 28 days ago

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license: mit
language:
  - fra
  - ita
  - por
  - spa
tags:
  - tokenizer
  - bpe
  - flexitok
  - fineweb2

Byte-Level BPE Tokenizer: ['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn'] (32K)

A Byte-Level BPE tokenizer trained on ['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn'] data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn']`
Target Vocab Size	32,000
Final Vocab Size	32,871
Pre-tokenizer	custom:fra_Latn
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	8

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_Roma_32000")
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, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ, «`	`42, 2110, 14, 25291, 3, 223, 22415, 4328, 17636, 1008, 267, 3037, 16, 223, 8090, 244, 14187, 244, 8090, 107`