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flexitok/bpe_ltr_ita_Latn_8000_v2
bpe_ltr_ita_Latn_8000_v2 is a machine learning model from flexitok. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A Byte-Level BPE tokenizer trained on itaLatn data from Fineweb-2-HQ.
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Updated Apr 16, 2026
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From the Hugging Face model README
A Byte-Level BPE tokenizer trained on ita_Latn data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ita_Latn |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 9,011 |
| Pre-tokenizer | custom:ita_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_ita_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, ello, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã, Ĥ | 42, 656, 14, 897, 4905, 3, 223, 8615, 3956, 2871, 341, 1655, 265, 2393, 16, 223, 6592, 244, 162, 227 |