Byte-Level BPE Tokenizer: pol_Latn (4K)

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

Training Details

Parameter Value
Algorithm Byte-Level BPE
Language pol_Latn
Target Vocab Size 4,000
Final Vocab Size 5,052
Pre-tokenizer custom:pol_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_pol_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, el, lo, ,, Ġw, or, ld, !, Ġ, 123, 45, ĠT, hi, s, Ġis, Ġa, Ġte, st, ., Ġ 42, 743, 384, 14, 262, 338, 2011, 3, 223, 4336, 4398, 397, 1173, 85, 2598, 310, 382, 273, 16, 223
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_pol_Latn_4000_v2