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language: it |
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license: mit |
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--- |
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# WineBERTo 🍷🥂 |
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**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) model on Italian drink recipes and wine descriptions, approximately 77k sentences (3.3M words). |
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**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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<p> |
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<img src="https://drive.google.com/uc?export=view&id=1dco9I9uzevP2V6oku1salIYcovUAeqWE" width="400"> </br> |
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</p> |
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# Perplexity |
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Test set of 14k sentences about food. |
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| Model | Perplexity | |
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| ------ | ------ | |
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| wineberto-italian-cased | **2.29** | |
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| bert-base-italian-xxl-cased | 4.60 | |
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# Usage |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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model_name = "vinhood/wineberto-italian-cased" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModel.from_pretrained(model_name) |
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``` |
