Byte-Level BPE Tokenizer: spa_Latn (16K)

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

Training Details

Parameter Value
Algorithm Byte-Level BPE
Language spa_Latn
Target Vocab Size 16,000
Final Vocab Size 16,955
Pre-tokenizer custom:spa_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_spa_Latn_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, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã, Ĥ 42, 2841, 14, 930, 6624, 3, 223, 16808, 4579, 3182, 353, 1625, 269, 6477, 16, 223, 10858, 244, 162, 227
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collections including flexitok/bpe_ltr_spa_Latn_16000_v2