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Soumendu Pal
mlops-senz
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urchade
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24 days ago
**Release Announcement: gliner_multi_pii-v1** I am pleased to announce the release of gliner_multi_pii-v1, a model developed for recognizing a wide range of Personally Identifiable Information (PII). This model is the result of fine-tuning the urchade/gliner_multi-v2.1 on synthetic dataset (urchade/synthetic-pii-ner-mistral-v1). **Model Features:** - Capable of identifying multiple PII types including addresses, passport numbers, emails, social security numbers, and more. - Designed to assist with data protection and compliance across various domains. - Multilingual (English, French, Spanish, German, Italian, Portugese) Link: https://huggingface.co./urchade/gliner_multi_pii-v1 ```python from gliner import GLiNER model = GLiNER.from_pretrained("urchade/gliner_multi_pii-v1") text = """ Harilala Rasoanaivo, un homme d'affaires local d'Antananarivo, a enregistré une nouvelle société nommée "Rasoanaivo Enterprises" au Lot II M 92 Antohomadinika. Son numéro est le +261 32 22 345 67, et son adresse électronique est
[email protected]
. Il a fourni son numéro de sécu 501-02-1234 pour l'enregistrement. """ labels = ["work", "booking number", "personally identifiable information", "driver licence", "person", "address", "company", "email", "passport number", "Social Security Number", "phone number"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) ``` ``` Harilala Rasoanaivo => person Rasoanaivo Enterprises => company Lot II M 92 Antohomadinika => full address +261 32 22 345 67 => phone number
[email protected]
=> email 501-02-1234 => Social Security Number ```
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24 days ago
urchade/gliner_multi_pii-v1:
reduce FP & FN on gliner_multi_pii-v1 for fields like PAN, BAN, SSN, STATE_ID, partial detection of ADDRESS ?
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urchade/gliner_multi_pii-v1
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Build error
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Presidio with custom PII models trained on PII data generated by Privy
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Fine Tuned Bert For SequenceClassifaction On Israel Palestine Conflict
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