roberta-large-italian

osiria/roberta-large-italian

roberta-large-italian is a fill-mask model from osiria. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.

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356M

2.8 GB on disk

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At a glance

Task: Fill-Mask
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Dec 15, 2023
Updated: Dec 14, 2024
SHA: 374f5711

Try a prompt

Model card

From the Hugging Face model README

<body> <span class="vertical-text" style="background-color:lightgreen;border-radius: 3px;padding: 3px;"> </span> <br> <span class="vertical-text" style="background-color:orange;border-radius: 3px;padding: 3px;"> </span> <br> <span class="vertical-text" style="background-color:lightblue;border-radius: 3px;padding: 3px;"> Model: RoBERTa Large</span> <br> <span class="vertical-text" style="background-color:tomato;border-radius: 3px;padding: 3px;"> Lang: IT</span> <br> <span class="vertical-text" style="background-color:lightgrey;border-radius: 3px;padding: 3px;"> </span> <br> <span class="vertical-text" style="background-color:#CF9FFF;border-radius: 3px;padding: 3px;"> </span> </body>

<h3>Model description</h3>

This is a <b>RoBERTa Large</b> <b>[1]</b> model for the <b>Italian</b> language, obtained using <b>XLM-RoBERTa-Large</b> <b>[2]</b> (xlm-roberta-large) as a starting point and focusing it on the italian language by modifying the embedding layer (as in <b>[3]</b>, computing document-level frequencies over the <b>Wikipedia</b> dataset)

The resulting model has 356M parameters, a vocabulary of 50.670 tokens, and a size of ~1.42 GB.

<h3>Quick usage</h3>

from transformers import RobertaTokenizerFast, RobertaForMaskedLM
from transformers import pipeline

tokenizer = RobertaTokenizerFast.from_pretrained("osiria/roberta-large-italian")
model = RobertaForMaskedLM.from_pretrained("osiria/roberta-large-italian")

pipe = pipeline("fill-mask", model=model, tokenizer=tokenizer)

pipe("Milano è una <mask> italiana")

[{'score': 0.9284337759017944,
  'token': 7786,
  'token_str': 'città',
  'sequence': 'Milano è una città italiana'},
 {'score': 0.03296631574630737,
  'token': 26960,
  'token_str': 'capitale',
  'sequence': 'Milano è una capitale italiana'},
 {'score': 0.015821034088730812,
  'token': 8043,
  'token_str': 'provincia',
  'sequence': 'Milano è una provincia italiana'},
 {'score': 0.007335659582167864,
  'token': 18841,
  'token_str': 'regione',
  'sequence': 'Milano è una regione italiana'},
 {'score': 0.006183209829032421,
  'token': 50152,
  'token_str': 'cittadina',
  'sequence': 'Milano è una cittadina italiana'}]

<h3>References</h3>

[1] https://arxiv.org/abs/1907.11692

[2] https://arxiv.org/abs/1911.02116

[3] https://arxiv.org/abs/2010.05609

<h3>License</h3>

The model is released under <b>MIT</b> license

Task: Fill-Mask
Library: transformers
Type: roberta
License: mit
Languages: it
Created: Dec 15, 2023
Updated: Dec 14, 2024