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en_kyc_nerre_tok2vec
hjianganthony/en_kyc_nerre_tok2vec
en_kyc_nerre_tok2vec 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.
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023
- SHA
- 324242e9
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_kyc_nerre_tok2vec |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 514157 keys, 20000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (3 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | CRIME, PERSON, PROCECUTION |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 51.76 |
ENTS_P | 53.66 |
ENTS_R | 50.00 |
TOK2VEC_LOSS | 25409.45 |
NER_LOSS | 25821.48 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023