fineweb2-hq-tokenizers-v2
Collection
182 items • Updated
A Byte-Level BPE tokenizer trained on vie_Latn data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | vie_Latn |
| Target Vocab Size | 32,000 |
| Final Vocab Size | 32,330 |
| Pre-tokenizer | custom:vie_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_vie_Latn_32000_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 |
Hello, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ, «, ãģ |
26910, 14, 8627, 3, 223, 8969, 2735, 9580, 3017, 1671, 6082, 16, 223, 6914, 244, 10450, 244, 6914, 107, 6914 |