metadata
language: it
license: mit
WineBERTo 🍷🥂
wineberto-italian-cased is a BERT model obtained by MLM adaptive-tuning bert-base-italian-xxl-cased model on Italian drink recipes and wine descriptions, approximately 77k sentences (3.3M words).
Author: Cristiano De Nobili (@denocris on Twitter, LinkedIn) for VINHOOD.
Perplexity
Test set of 14k sentences about food.
| Model | Perplexity |
|---|---|
| wineberto-italian-cased | 2.29 |
| bert-base-italian-xxl-cased | 4.60 |
Usage
from transformers import AutoModel, AutoTokenizer
model_name = "vinhood/wineberto-italian-cased"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)