| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | fw_edu |
| Target Vocab Size | 16,000 |
| Final Vocab Size | 16,000 |
| Pre-tokenizer | custom:fw_edu |
| 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_fw_edu_16000_v2")
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, ,, Ġworld, !, Ġ, 1, 2, 3, 4, 5, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã | 43, 14347, 15, 849, 4, 178, 20, 21, 22, 23, 24, 605, 267, 214, 1019, 17, 178, 9811, 198, 160 |