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lawinsider/uk_ner_spacy
uk_ner_spacy is a token classification model from lawinsider. Use it when you need labels on individual words, such as names. It is set up for spacy.
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From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | uk_ner_spacy |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
| Component | Labels |
|---|---|
ner | CLAUSE_NUMBER, CLAUSE_TITLE, CONTRACT_TYPE, DEFINITION_TITLE, MARGINAL |
| Type | Score |
|---|---|
ENTS_F | 94.71 |
ENTS_P | 95.44 |
ENTS_R | 93.99 |
TOK2VEC_LOSS | 18944.45 |
NER_LOSS | 38361.74 |