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flexitok/
bpe_ltr_fw_edu_1000_v2

Name: bpe_ltr_fw_edu_1000_v2
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Byte-Level BPE Tokenizer: fw_edu (1K)

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	1,000
Final Vocab Size	2,093
Pre-tokenizer	custom:fw_edu
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	2

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_fw_edu_1000_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, ell, o, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġt, est, ., Ġ, ã, ģ, ĵ, ã`	`42, 477, 81, 14, 904, 3, 223, 1461, 1406, 655, 313, 260, 259, 390, 16, 223, 162, 226, 244, 162`