| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | fas_Arab |
| Target Vocab Size | 4,000 |
| Final Vocab Size | 5,075 |
| Pre-tokenizer | custom:fas_Arab |
| Number handling | ltr_3digit |
| Contraction handling | True |
| Normalizer | NONE |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
1from transformers import AutoTokenizer
2
3tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_fas_Arab_4000_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, l, o, ,, Ġ, w, or, l, d, !, Ġ, 123, 45, Ġ, T, h, is, Ġ, is | 42, 2363, 78, 81, 14, 223, 89, 1375, 78, 70, 3, 223, 4408, 4955, 223, 54, 74, 1809, 223, 1809 |