
# ChefBERTo 👨‍🍳 

**chefberto-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 cooking recipes, approximately 50k sentences (2.6M 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/).
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    <img src="https://drive.google.com/uc?export=view&id=1u5aY2wKu-X5DAzbOq7rsgGFW5_lGUAQn" width="400"> </br>
</p>

# Perplexity 

Test set: 9k sentences about food.

| Model | Perplexity | 
| ------ | ------ | 
| chefberto-italian-cased | **1.84**  | 
| bert-base-italian-xxl-cased | 2.85  |

# Usage

```python
from transformers import AutoModel, AutoTokenizer
model_name = "vinhood/chefberto-italian-cased"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)
```
{"language": "it", "license": "mit", "widget": [{"text": "La pasta pi\u00f9 semplice \u00e8 aglio, [MASK] e peperoncino."}, {"text": "Per fare la carbonara servono le [MASK]."}, {"text": "A tavola non pu\u00f2 mancare del buon [MASK]."}]}
transformers pytorch bert fill-mask it license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #it #license-mit #autotrain_compatible #endpoints_compatible #region-us 

ChefBERTo ‍
===========


chefberto-italian-cased is a BERT model obtained by MLM adaptive-tuning bert-base-italian-xxl-cased on Italian cooking recipes, approximately 50k sentences (2.6M words).


Author: Cristiano De Nobili (@denocris on Twitter, LinkedIn) for VINHOOD.



![](URL width=) 



Perplexity
==========


Test set: 9k sentences about food.



Usage
=====



TAGS
#transformers #pytorch #bert #fill-mask #it #license-mit #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #fill-mask #it #license-mit #autotrain_compatible #endpoints_compatible #region-us 
