Fineweb2-HQ-Tokenizers
Collection
203 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 | 4,000 |
| Pre-tokenizer | gpt4 |
| Number handling | individual |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/-bpe_pol_Latn_4000")
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, 12, 3, 4, 5, ĠT, hi, s, Ġis, Ġa, Ġte, st |
43, 699, 339, 15, 216, 293, 1976, 4, 178, 1204, 22, 23, 24, 352, 1130, 86, 2567, 265, 337, 227 |