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de_dwds_ner_lg
zentrum-lexikographie/de_dwds_ner_lg
de_dwds_ner_lg is a token classification model from zentrum-lexikographie. 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 13, 2023
- Updated
- Nov 22, 2023
- SHA
- e3f01991
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | de_dwds_ner_lg |
| Version | 0.0.3 |
| spaCy | >=3.7.1,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (4 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | LOC, MISC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 83.41 |
ENTS_P | 84.08 |
ENTS_R | 82.75 |
TOK2VEC_LOSS | 463649.14 |
NER_LOSS | 844073.21 |
- Task
- Token Classification
- Library
- spacy
- Languages
- de
- Created
- Nov 13, 2023
- Updated
- Nov 22, 2023