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christofid/dabert-multi
dabert-multi is a fill-mask model from christofid. 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.
DapBERT-multi is a BERT-like model trained based on the domain adaptive pretraining method (Gururangan et al.) for the patent domain. Bert-base-multilingual-cased is used as base for the training. The training dataset…
Downloads · 30 days
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From the Hugging Face model README
DapBERT-multi is a BERT-like model trained based on the domain adaptive pretraining method (Gururangan et al.) for the patent domain. Bert-base-multilingual-cased is used as base for the training. The training dataset used consists of a corpus of 10,000,000 patent abstracts that have been filed between 1998-2020 in US and European patent offices as well as the World Intellectual Property Organization.