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en_spacy_pii_fast
beki/en_spacy_pii_fast
en_spacy_pii_fast is a token classification model from beki. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
12.9 MB
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9
Public
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.whl6.9 MB · 40%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Oct 14, 2022
- Updated
- May 6, 2023
- SHA
- bb808473
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_spacy_pii_fast |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, 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 |
Label Scheme
<details> <summary>View label scheme (5 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | DATE_TIME, LOC, NRP, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 85.78 |
ENTS_P | 86.82 |
ENTS_R | 84.75 |
TOK2VEC_LOSS | 83709.83 |
NER_LOSS | 147916.24 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Oct 14, 2022
- Updated
- May 6, 2023