Fineweb2-HQ-Tokenizers
Collection
193 items • Updated
A Byte-Level BPE tokenizer trained on fra_Latn data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | fra_Latn |
| Target Vocab Size | 16,000 |
| Final Vocab Size | 16,000 |
| 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_fra_Latn_16000")
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, ello, ,, Ġw, orld, !, Ġ, 12, 3, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ |
43, 13656, 15, 880, 6353, 4, 180, 1284, 22, 3849, 12323, 1487, 228, 1898, 17, 180, 5433, 200, 9527, 200 |