Byte-Level BPE Tokenizer: vie_Latn (32K)

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

Training Details

Parameter Value
Algorithm Byte-Level BPE
Language vie_Latn
Target Vocab Size 32,000
Final Vocab Size 32,000
Pre-tokenizer custom:vie_Latn
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_vie_Latn_32000_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 Hello, ,, Ġworld, !, Ġ, 1, 2, 3, 4, 5, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ 26259, 15, 8415, 4, 173, 20, 21, 22, 23, 24, 9346, 2922, 1603, 5909, 17, 173, 6725, 193, 10194, 193
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_vie_Latn_32000_v2