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#
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PrivBERT is a privacy policy language model. We pre-trained PrivBERT on ~1 million privacy policies starting from the pretrained Roberta model.
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##
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("mukund/privbert")
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model = AutoModel.from_pretrained("model_name")
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##
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If you use this dataset in research, you must cite the below paper.
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Mukund Srinath, Shomir Wilson and C. Lee Giles. Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. In Proc. ACL 2021.
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For research, teaching, and scholarship purposes, the model is available under a CC BY-NC-SA license. Please contact us for any requests regarding commercial use.
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#PrivBERT
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PrivBERT is a privacy policy language model. We pre-trained PrivBERT on ~1 million privacy policies starting from the pretrained Roberta model.
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##Usage
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("mukund/privbert")
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model = AutoModel.from_pretrained("model_name")
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##License
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If you use this dataset in research, you must cite the below paper.
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'Mukund Srinath, Shomir Wilson and C. Lee Giles. Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. In Proc. ACL 2021.'
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For research, teaching, and scholarship purposes, the model is available under a CC BY-NC-SA license. Please contact us for any requests regarding commercial use.
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