Byte-Level BPE Tokenizer: dan_Latn (16K)
A Byte-Level BPE tokenizer trained on dan_Latn data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | dan_Latn |
| Target Vocab Size | 16,000 |
| Final Vocab Size | 16,961 |
| Pre-tokenizer | custom:dan_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_script_Germ_16000")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingmerges.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, 12891, 14, 819, 4384, 3, 223, 16661, 3909, 1897, 317, 998, 263, 1922, 16, 223, 7445, 244, 162, 227 |
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