Osiria "Earth" Series 🌱
Collection
This collection is composed of robust and reliable models for common NLP tasks
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10 items
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Updated
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This is a DeBERTa [1] model for the Italian language, obtained using mDeBERTa (mdeberta-v3-base) as a starting point and focusing it on the Italian language by modifying the embedding layer (as in [2], computing document-level frequencies over the Wikipedia dataset)
The resulting model has 124M parameters, a vocabulary of 50.256 tokens, and a size of ~500 MB.
from transformers import DebertaV2TokenizerFast, DebertaV2Model
tokenizer = DebertaV2TokenizerFast.from_pretrained("osiria/deberta-base-italian")
model = DebertaV2Model.from_pretrained("osiria/deberta-base-italian")
[1] https://arxiv.org/abs/2111.09543
[2] https://arxiv.org/abs/2010.05609
The model is released under MIT license