# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("BananaFish45/gdpr_personal_data")
model = AutoModelForSequenceClassification.from_pretrained("BananaFish45/gdpr_personal_data")Quick Links
This model basically does check for any personal data in documents what constitutes as personal data is the following: personal_data_labels = [ "name", "surname", "initials", "date_of_birth", "address", "email_address", "phone_number", "fax_number", "national_identification_number", "passport_number", "social_security_number", "tax_number" ]
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BananaFish45/gdpr_personal_data")