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beki/flair-pii-distilbert
flair-pii-distilbert is a token classification model from beki. Use it when you need labels on individual words, such as names. It is set up for flair. The card lists the license as mit.
Downloads · 30 days
379
2% of all-time downloads
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From the Hugging Face model README
| 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 |
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.