You can deploy this model and start earning money today!

flexitok/
bpe_ltr_nld_Latn_8000_v2

Name: bpe_ltr_nld_Latn_8000_v2
Availability: InStock

Views

No views yet

Byte-Level BPE Tokenizer: nld_Latn (8K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	`nld_Latn`
Target Vocab Size	8,000
Final Vocab Size	9,018
Pre-tokenizer	custom:nld_Latn
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_nld_Latn_8000_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, ,, Ġwor, ld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ã, ģ, ĵ`	`42, 589, 81, 14, 364, 2610, 3, 223, 8327, 4033, 2128, 286, 318, 285, 2169, 16, 223, 162, 226, 244`