Upload folder using huggingface_hub

e01ed39 verified 29 days ago

1.49 kB

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

Byte-Level BPE Tokenizer: ['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn'] (16K)

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	16,000
Final Vocab Size	16,965
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_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, ello, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ`	`42, 2110, 14, 918, 6622, 3, 223, 16846, 4328, 2541, 284, 1008, 267, 3037, 16, 223, 8090, 244, 14187, 244`