Edit model card

WineBERTo 🍷🥂

wineberto-italian-cased is a BERT model obtained by MLM adaptive-tuning bert-base-italian-xxl-cased 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: 14k sentences about wine.

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)
Downloads last month
17
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.