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en_kyc_nerre
hjianganthony/en_kyc_nerre
en_kyc_nerre is a token classification model from hjianganthony. Use it when you need labels on individual words, such as names. It is set up for spacy.
Identifying PERSON, CRIME, and PROCECUTION entities; supporting relation extraction for the next step
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Repo size
176 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023
- SHA
- fe35bd5f
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Model card
From the Hugging Face model README
| Feature | Description | Note |
|---|---|---|
| Name | en_kyc_nerre | |
| Version | 0.0.0 | test run, official version will start from 1.xx.xx |
| spaCy | >=3.6.1,<3.7.0 | |
| Default Pipeline | transformer, ner | |
| Components | transformer, ner | |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) | |
| Sources | n/a | |
| License | n/a | |
| Author | hjiangAnthony |
Purpose
Identifying PERSON, CRIME, and PROCECUTION entities; supporting relation extraction for the next step
Label Scheme
<details> <summary>View label scheme (3 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | CRIME, PERSON, PROCECUTION |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 73.68 |
ENTS_P | 68.63 |
ENTS_R | 79.55 |
TRANSFORMER_LOSS | 12977.28 |
NER_LOSS | 94024.87 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023