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lsg16k-Italian-Legal-BERT-SC
dlicari/lsg16k-Italian-Legal-BERT-SC
lsg16k-Italian-Legal-BERT-SC is a fill-mask model from dlicari. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as afl-3.0.
<img src="https://huggingface.co/dlicari/lsg16k-Italian-Legal-BERT/resolve/main/ITALIANLEGALBERT-LSG.jpg" width="600"/
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- afl-3.0
- Model type
- camembert
- Access
- Public
- Created
- Dec 17, 2022
- Updated
- Feb 18, 2023
- SHA
- 8adc56b9
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Model card
From the Hugging Face model README
<img src="https://huggingface.co/dlicari/lsg16k-Italian-Legal-BERT/resolve/main/ITALIAN_LEGAL_BERT-LSG.jpg" width="600"/>
LSG16K-Italian-LEGAL-BERT
Local-Sparse-Global version of ITALIAN-LEGAL-BERT-SC by replacing the full attention in the encoder part using the LSG converter script (https://github.com/ccdv-ai/convert\_checkpoint\_to\_lsg). We used the LSG attention with 16,384 maximum sequence length, 7 global tokens, 128 local block size, 128 sparse block size, 2 sparsity factors, 'norm' sparse selection pattern (select the highest norm tokens).
- Task
- Fill-Mask
- Library
- transformers
- Type
- camembert
- License
- afl-3.0
- Languages
- it
- Created
- Dec 17, 2022
- Updated
- Feb 18, 2023