fineweb2-hq-tokenizers-v2
Collection
182 items • Updated
A Byte-Level BPE tokenizer trained on por_Latn data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | por_Latn |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 9,013 |
| Pre-tokenizer | custom:por_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_por_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, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ã, ģ, ĵ |
42, 309, 498, 14, 943, 5945, 3, 223, 8047, 4342, 2626, 276, 607, 261, 1754, 16, 223, 162, 226, 244 |