| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | nld_Latn |
| Target Vocab Size | 16,000 |
| Final Vocab Size | 16,000 |
| Pre-tokenizer | gpt4 |
| Number handling | individual |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
1from transformers import AutoTokenizer
2
3tokenizer = AutoTokenizer.from_pretrained("flexitok/-bpe_nld_Latn_16000")
4tokens = tokenizer.encode("Hello, world!")tokenizer.json — Full HuggingFace tokenizervocab.json — Vocabulary mappingmerges.txt — BPE merge rules| Text | Tokens | Token IDs |
|---|---|---|
Hello, world! 12345 This is a test. こんにちは | H, ello, ,, Ġwor, ld, !, Ġ, 12, 3, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã, Ĥ | 43, 9563, 15, 318, 2579, 4, 177, 1308, 22, 4012, 15747, 272, 238, 2136, 17, 177, 14248, 197, 161, 180 |