| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ind_Latn |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 9,032 |
| Pre-tokenizer | custom:ind_Latn |
| Number handling | ltr_3digit |
| 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_ltr_ind_Latn_8000_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, el, lo, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ã, ģ, ĵ | 42, 297, 1726, 14, 429, 4639, 3, 223, 8306, 4529, 2612, 291, 1153, 395, 7029, 16, 223, 162, 226, 244 |