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0e9a4aa verified 3 months ago

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

Byte-Level BPE Tokenizer: fw_edu (16K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`fw_edu`
Target Vocab Size	16,000
Final Vocab Size	16,000
Pre-tokenizer	custom:fw_edu
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_fw_edu_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, ,, Ġworld, !, Ġ, 1, 2, 3, 4, 5, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã`	`43, 14347, 15, 849, 4, 178, 20, 21, 22, 23, 24, 605, 267, 214, 1019, 17, 178, 9811, 198, 160`