metadata
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
widget:
- text: >-
SELECT shipping FROM users WHERE shipping = '201 Thayer St Providence RI
02912'
license: mit
datasets:
- beki/privy
| Feature | Description |
|---|---|
| Name | en_spacy_pii_distilbert |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | Trained on a new dataset for structured PII generated by Privy. For more details, see this blog post |
| License | MIT |
| Author | Benjamin Kilimnik |
English PII in Flair
This is the large 5-class NER model for English trained on protocol trace data generated by Privy
F1-Score: 0.9522
Predicts 5 tags:
| tag | meaning |
|---|---|
| PER | person name |
| LOC | location name |
| ORG | organization name |
| DATE_TIME | dates and times |
| NRP | nationalities, religious and political groups |
Uses distilbert embeddings.