flexitok/bpe_ltr_fra_Latn_4000_v2

Byte-Level BPE Tokenizer: fra_Latn (4K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	fra_Latn
Target Vocab Size	4,000
Final Vocab Size	5,053
Pre-tokenizer	custom:fra_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_fra_Latn_4000_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, ,, Ġw, or, l, d, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ã	42, 1325, 81, 14, 922, 289, 78, 70, 3, 223, 4807, 3878, 1727, 281, 1528, 272, 1935, 16, 223, 162