--- language: - it library_name: transformers tags: - tokenizer - italian - bpe - bert - alberturin --- # gettone **gettone** is a Byte-Pair Encoding (BPE) tokenizer developed specifically for Italian and used across the **AlBERTurin** family of encoder models. It has a vocabulary size of **32,768 tokens** and was designed to provide compact tokenization of Italian text while maintaining a moderate vocabulary size. ## Usage ```python from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("AlBERTurin/gettone") text = "Questa è una frase di esempio in italiano." tokens = tokenizer.tokenize(text) encoded = tokenizer(text) print(tokens) print(encoded) ``` ## AlBERTurin Model Family gettone is shared by all models in the AlBERTurin family: | Model | Parameters | Training Tokens | | --- | ---: | ---: | | [AlBERTmini](https://huggingface.co/AlBERTurin/AlBERTmini) | 95M | 7B | | [AlBERTina](https://huggingface.co/AlBERTurin/AlBERTina) | 140M | 14B | | [AlBERTone101](https://huggingface.co/AlBERTurin/AlBERTone101) | 450M | ~101B | ## Tokenizer Evaluation The tokenizer was evaluated using **fertility**, defined as the average number of subword tokens produced per word. Lower values indicate more compact tokenization. On the evaluation corpus used in the AlBERTurin paper, gettone achieved a fertility score of **1.429**, the lowest among the evaluated Italian and multilingual tokenizers. | Tokenizer | Type | Vocabulary Size | Fertility ↓ | | --- | --- | ---: | ---: | | **gettone** | BPE | 32,768 | **1.429** | | Velvet-2B | BPE | 126,976 | 1.471 | | UmBERTo | BPE | 32,005 | 1.493 | | dbmdz | WordPiece | 31,102 | 1.497 | | Minerva-7B | BPE | 51,200 | 1.560 | | Minerva-350M | BPE | 32,768 | 1.644 | | XLM-R | Unigram | 250,002 | 1.663 | | mBERT | WordPiece | 119,547 | 1.719 | | EuroBERT | BPE | 128,000 | 1.934 | ## Citation If you use gettone in your research, please cite: > Matteo Rinaldi, Marco Madeddu, Calogero Jerik Scozzaro, > Matteo Delsanto, Daniele Paolo Radicioni, and Viviana Patti. > **AlBERTurin: A Fully Open Family of Italian Encoder Models with > Modern Architectures.** > CLiC-it 2026.