|
--- |
|
language: it |
|
license: mit |
|
widget: |
|
- text: "Con del pesce bisogna bere un bicchiere di vino [MASK]." |
|
- text: "Con la carne c'è bisogno del vino [MASK]." |
|
- text: "A tavola non può mancare del buon [MASK]." |
|
--- |
|
|
|
# WineBERTo 🍷🥂 |
|
|
|
**wineberto-italian-cased** is a BERT model obtained by MLM adaptive-tuning [**bert-base-italian-xxl-cased**](https://huggingface.co/dbmdz/bert-base-italian-xxl-cased) on Italian drink recipes and wine descriptions, approximately 77k sentences (3.3M words). |
|
|
|
**Author:** Cristiano De Nobili ([@denocris](https://twitter.com/denocris) on Twitter, [LinkedIn](https://www.linkedin.com/in/cristiano-de-nobili/)) for [VINHOOD](https://www.vinhood.com/en/). |
|
<p> |
|
<img src="https://drive.google.com/uc?export=view&id=1dco9I9uzevP2V6oku1salIYcovUAeqWE" width="400"> </br> |
|
</p> |
|
|
|
# Perplexity |
|
|
|
Test set: 14k sentences about wine. |
|
|
|
| Model | Perplexity | |
|
| ------ | ------ | |
|
| wineberto-italian-cased | **2.28** | |
|
| bert-base-italian-xxl-cased | 4.60 | |
|
|
|
# Usage |
|
|
|
```python |
|
from transformers import AutoModel, AutoTokenizer |
|
model_name = "vinhood/wineberto-italian-cased" |
|
tokenizer = AutoTokenizer.from_pretrained(model_name) |
|
model = AutoModel.from_pretrained(model_name) |
|
``` |