fineweb2-hq-tokenizers-v2
Collection
182 items • Updated
A Byte-Level BPE tokenizer trained on pol_Latn data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | pol_Latn |
| Target Vocab Size | 4,000 |
| Final Vocab Size | 5,052 |
| Pre-tokenizer | custom:pol_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_pol_Latn_4000_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, or, ld, !, Ġ, 123, 45, ĠT, hi, s, Ġis, Ġa, Ġte, st, ., Ġ |
42, 743, 384, 14, 262, 338, 2011, 3, 223, 4336, 4398, 397, 1173, 85, 2598, 310, 382, 273, 16, 223 |