spacy-models
Collection
German spaCy models trained on German UD-HDT and on a collection of gold and silver standard NER corpora • 6 items • Updated
How to use zentrum-lexikographie/de_ner_d_dist with spaCy:
!pip install https://huggingface.co/zentrum-lexikographie/de_ner_d_dist/resolve/main/de_ner_d_dist-any-py3-none-any.whl
# Using spacy.load().
import spacy
nlp = spacy.load("de_ner_d_dist")
# Importing as module.
import de_ner_d_dist
nlp = de_ner_d_dist.load()| Feature | Description |
|---|---|
| Name | de_ner_d_dist |
| Version | 2.0.0 |
| spaCy | >=3.8.7,<3.9.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
| Component | Labels |
|---|---|
ner |
LOC, MISC, ORG, PER |
| Type | Score |
|---|---|
ENTS_P |
90.93 |
ENTS_R |
86.84 |
ENTS_F |
88.84 |