fineweb2-hq-tokenizers-v2
Collection
182 items • Updated
A Byte-Level BPE tokenizer trained on tur_Latn data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | tur_Latn |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 9,016 |
| Pre-tokenizer | custom:tur_Latn |
| Number handling | ltr_3digit |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_tur_Latn_8000_v2")
tokens = 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, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã |
42, 286, 1272, 14, 1129, 7565, 3, 223, 8949, 3899, 381, 3336, 1109, 302, 1681, 16, 223, 5495, 244, 162 |